The document describes an intelligent fault diagnosis system for reciprocating pumps that uses pressure and flow signals as inputs. It consists of hardware for data acquisition and a software system for signal processing, feature extraction, and fault diagnosis using wavelet neural networks. The system was able to accurately diagnose three main fault types - seal ring faults, valve damage, and spring faults - based on differences observed in the pressure curves. Testing on over 12 samples of each fault type achieved a correct diagnosis rate of over 94%. The system provides a fast and effective means of remotely monitoring reciprocating pumps and identifying faults.
This document is a course manual on instrumentation and measurement that contains 7 chapters and 4 tutorials. It discusses fundamentals of measurement including direct and indirect methods, calibration concepts, and types of errors. It also covers time-dependent properties of analog signals such as harmonic signals and periodic signals represented through Fourier series. Methods for determining Fourier coefficients both analytically and through fast Fourier transforms are presented. The document provides an overview of key topics in instrumentation and measurement.
THE PRESSURE SIGNAL CALIBRATION TECHNOLOGY OF THE COMPREHENSIVE TEST SYSTEMieijjournal
The pressure signal calibration technology of the comprehensive test system which involved pressure
sensors was studied in this paper. The melioration of pressure signal calibration methods was elaborated.
Compared with the calibration methods in the lab and after analyzing the relevant problems,the
calibration technology online was achieved. The test datum and reasons of measuring error analyzed,the
uncertainty evaluation was given and then this calibration method was proved to be feasible and accurate.
Ultra high performance liquid chromatography (UHPLC) has become popular due to the interest in improving productivity and lessening the burden on the environment. Method development systems utilizing UHPLC are also becoming an area of interest. This presentation examines the capabilities & benefits of this technology. For more information, visit www.ssi.shimadzu.com and follow us on Twitter @shimadzussi.
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The document discusses Mohsen Sadok's background and experience in research projects. It summarizes that Mohsen received his engineering degree from a top Tunisian university where he worked on projects including a study of a portable and low-cost dialysis system. It then lists 8 research and development projects that Mohsen has worked on, including designing building management systems, implementing industrial SCADA systems, developing predictive maintenance algorithms using machine learning, and more.
The document provides documentation for a state machine code and user interface developed for the slow control system at the TGC McGill Testing Facility. The state machine ensures safety by monitoring and controlling the environment, gas, and high voltage systems. It implements a state transition diagram with normal operation states like dormant, CO2 flush, ready, and run, as well as error states. The user interface includes a central panel and extension panels for high voltage control and sensor monitoring.
APPROACH MULTI-AGENTS EMBEDDED ALARM IN POTROOMScsandit
Industrial Shop Floor environments require fast intervention of the controller’s computers and operators to ensure high ndustrial production efficiency. This work focuses the lectrolytic
potrooms process control efficiency. The main goal of this work is to design an embedded solution for detection and alarm, using multi-agents system technologies so that controllers can
alert plant operators about the problems in the electrolytic pot still malfunctioning after controller intervention. If the controller action was unsuccessful due to a feeder and pot bus problem, an audio alarm is immediately issued to the potrooms so that the operator can be notified about the specific problem, independently of the potrooms location.
This document discusses calibrating measuring chains. It defines a measuring chain as the series of elements from a sensor to an output transducer that measures quantities. Calibration is comparing measurements to known standards and adjusting for errors. The document outlines sources of error, categories and procedures for calibration, including applying input signals at increments and adjusting readings. Performing calibration ensures accurate measurements by accounting for instrument drift over time.
Development of a Condition Monitoring Algorithm for Industrial Robots based o...IJECEIAES
Signal processing plays a significant role in building any condition monitoring system. Many types of signals can be used for condition monitoring of machines, such as vibration signals, as in this research; and processing these signals in an appropriate way is crucial in extracting the most salient features related to different fault types. A number of signal processing techniques can fulfil this purpose, and the nature of the captured signal is a significant factor in the selection of the appropriate technique. This chapter starts with a discussion of the proposed robot condition monitoring algorithm. Then, a consideration of the signal processing techniques which can be applied in condition monitoring is carried out to identify their advantages and disadvantages, from which the time-domain and discrete wavelet transform signal analysis are selected.
Ok market value-creation_sebagai_strategi_pemasaran_jasa_hotel_tahun_2015muhammad novri
Dokumen tersebut membahas model rantai keuntungan pelayanan (service profit chain) yang menjelaskan hubungan antara kualitas pelayanan internal perusahaan, kepuasan karyawan, kualitas pelayanan eksternal ke pelanggan, hingga kepuasan dan loyalitas pelanggan yang pada akhirnya akan meningkatkan laba perusahaan. Model ini menekankan pentingnya memberikan pelayanan yang baik kepada karyawan sendiri terlebih dahulu agar karyawan dap
The document discusses the importance and value that public libraries provide to communities. It outlines how libraries promote early literacy, culture, and serve as a multimedia gateway to worldwide knowledge. Libraries provide a welcoming environment for work and idea generation. They signify belonging, welcome, and being free from judgment. Libraries also offer education, information, cultural appreciation, recreation, and a place to invest spare time. Even in the digital age, libraries remain important community hubs for knowledge creation and discourse. Libraries loan materials, provide reference services, current awareness updates, online searching, training, and prepare lists to serve their beneficiaries.
This power point presentation discusses traditional methods of fishing among coastal communities in ancient times. Nets made of natural fibers like coir were used to catch large numbers of fish which were abundant along the coast. Various parts of the nets and stages of preparation like spinning, twisting and knotting are described. The presentation concludes with thanks to the audience.
Test Master has opened a world-class filter testing lab in Delhi, India that can test a wide range of filters and filtration media according to national and international standards. The lab has experienced engineers and can test items like air, oil, fuel, hydraulic, and other filters. Testing includes tests for filter efficiency, strength, permeability, pore size, and other key filter characteristics. The lab aims to provide a one-stop solution for filter and media testing needs.
This document summarizes a small business workshop on building business credit. It discusses that business credit is important for obtaining financing, lowering costs, and saving time. It provides information on business credit scores and factors like payment history, debt to income ratios, and utilization. The document recommends business owners establish their company as a legal entity, open a business bank account, get a DUNS number, build credit lines through business credit cards and vendor/supplier payments, and regularly check their business credit reports to build their profile over time. The overall goal is to educate small business owners on improving their access to financing and credit through establishing and strengthening their business credit.
Converter station water-cooled pump vibration monitoring and condition assess...IJRES Journal
In High Voltage Direct Current(HVDC) Transmission Systems, high intelligence and reliability is demand more. It’s urgently necessary to run a real-time monitoring system on converter station water-cooled pump. From the functional requirements of the monitoring system, describes the structure of the proposed converter station water-cooled pump vibration signal monitoring systems, data acquisition unit of hardware and software systems. In accordance with vibration severity in GB/T 29531-2013, As a water-cooled pump monitoring and early warning threshold, based on LabVIEW, We developed a water-cooled pump monitoring system software. Test results show that the system can effectively monitor the water-cooled pump’s working conditions.
FAULT DETECTION AND DIAGNOSIS OF INDUCTION MACHINE WITH ON-LINE PARAMETER PR...Sheikh R Manihar Ahmed
1. The document discusses a fault detection and diagnosis system for induction machines. It includes a microcontroller, sensors, ADC, and LCD display.
2. The system works by setting threshold values for parameters like temperature and current. It then continuously monitors these parameters and compares them to the thresholds.
3. If a parameter exceeds its threshold, the system isolates the specific fault, displays it on the LCD, and triggers an alarm. The user can acknowledge the fault to stop the alarm.
This document discusses applying a perceptron neural network model to predict failures in the subsystems of a thermal power plant. It begins by providing background on predictive maintenance and the use of neural networks for failure prediction. It then describes the case study of a 500 MW thermal power plant in East Iran. The document examines the main subsystems of the power plant and factors that influence failures in each. It proposes using a perceptron multilayer neural network trained on 2 years of daily operational data to predict failure times and aid predictive maintenance planning. The goal is to help schedule maintenance visits, procure parts in a timely manner, and reduce storage costs.
Detection system design of subsea tree controllerIJCSES Journal
To meet the requirements of the detection system of underwater controller of subsea tree, this paper adopts
the data acquisition and control mode of “HMI+ SIEMENS PLC+SQL ".Using the configuration software,
completed the development and design of production tree detection system to monitor, control and data
communication. The monitoring function has realized the process simulation of oil tree, the control
function has realized the remote control of oil tree, and database SQL has realized the management and
analysis of data in oil well, achieving real-time tracking, rapid response, improve speed , quality and
reporting level of oil production engineering design .At the same time the design center can make full use
of the database to complete the design of required query, statistical analysis and the output function of
related form .
Research on Power Quality Real-Time Monitoring System For High Voltage Switch...IJRESJOURNAL
ABSTRACT: As an important equipment of high voltage switch cabinet distribution plays a key role in the power system of power generation, transmission and distribution of electricity, and monitoring the operation of electrical parameters, based on virtual instrument technology, make full use of the data processing, data analysis, data expression and network function and other advantages, build a set based on the LabVIEW real-time power quality monitoring system innovatively applied in high-voltage switch cabinet. Through building a power quality monitoring platform based on high voltage switchgear in the laboratory, the accuracy of the system measurement is verified. The experimental results show that the design of power quality real-time monitoring system has good performance, high accuracy, friendly interface, and has a good market prospect.
This document describes a system for monitoring transformer oil temperature using a PIC microcontroller. The system continuously monitors the oil temperature and automatically shuts down the transformer if the temperature exceeds safe limits. It displays the temperature readings for users. The system is designed to make transformers more secure and intelligent by detecting problems early to prevent costly failures or loss of service. It can cut operational and maintenance costs for transformers.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Online flooding monitoring in packed towersJames Cao
This document proposes an enhanced data-driven method called EDPCA for online flooding monitoring in packed towers. EDPCA improves upon DPCA (dynamic principal component analysis) monitoring by first using fuzzy c-means clustering to separate historical data into subsets. Then, multiple single DPCA models are trained on each subset. When a new data point arrives, each DPCA model evaluates it, and the results are integrated using Bayesian inference to obtain the overall monitoring result. The method was tested on an air-water packed tower and showed better performance than single DPCA monitoring.
THE PRESSURE SIGNAL CALIBRATION TECHNOLOGY OF THE COMPREHENSIVE TEST SYSTEMieijjournal1
The pressure signal calibration technology of the comprehensive test system which involved pressure
sensors was studied in this paper. The melioration of pressure signal calibration methods was elaborated.
Compared with the calibration methods in the lab and after analyzing the relevant problems,the
calibration technology online was achieved. The test datum and reasons of measuring error analyzed,the
uncertainty evaluation was given and then this calibration method was proved to be feasible and accurate.
THE PRESSURE SIGNAL CALIBRATION TECHNOLOGY OF THE COMPREHENSIVE TEST SYSTEMieijjournal
The pressure signal calibration technology of the comprehensive test system which involved pressure
sensors was studied in this paper. The melioration of pressure signal calibration methods was elaborated.
Compared with the calibration methods in the lab and after analyzing the relevant problems,the
calibration technology online was achieved. The test datum and reasons of measuring error analyzed,the
uncertainty evaluation was given and then this calibration method was proved to be feasible and accurate.
IoT Device Intelligence & Real Time Anomaly DetectionBraja Krishna Das
-- Real Time Anomaly Detection
-- IoT Device Intelligence
-- Uni Variate and Multi Variate Anomaly Detection
-- Unsupervised Learning Classification from Anomaly Detection
Design and Implementation of High Resolution Data Acquisition Systemijsrd.com
Fuel cell stacks containing hundreds of individual cells are capable of generating high voltage and current values needed for transportation, commercial, residential, portable and industrial power applications. Although majority of hydrogen produced today comes from reformulated natural gas generated through a process that creates a significant amount of carbon dioxide, fuel cell is still a viable energy source for the future electrical power applications. One of the hard cases of the fuel-cell power systems is proper monitoring, instrumentation and data acquisition of system parameters such as fuel flow into the system, AC and DC voltage values, load current, humidity, power, pressure, temperature, fuel utilization, overall system efficiency, noise, etc. Fuel cell test systems must precisely monitor and control the aforementioned hundreds of measurements in real-time. It is necessary to have an instrumentation system which is able to monitor and control fuel cell operation under varying conditions and accurately get information relating to real-time performance and operational characteristics to calculate fuel cell efficiency correctly. Instrumentation and interface systems must also provide flexible data acquisition, monitoring, and control capability to precisely control fuel cell operation. Therefore, a typical fuel cell test system requires high-resolution, high-voltage input, isolation, and waveform acquisition capability. The objective of this applied research project is design and implementation of a high-resolution data acquisition and interface module for a 500 W Hydrogen fuel cell power station using LabVIEW ™ PDS v8.20 software and field point based data acquisition modules.
This document presents a fuzzy logic controller-based method for isolating open circuit faults in a pulse width modulated voltage source inverter (PWM VSI) that provides power to a vector controlled induction motor drive. The method uses distortions in current waveforms that occur during faulty operating stages of the inverter to detect and isolate faults. Simulation results show the effectiveness of the proposed fuzzy logic controller in isolating open circuit faults introduced in the PWM VSI. The controller is able to isolate faults without additional hardware and with low computational requirements, making it suitable for implementation in existing vector controlled induction motor drive systems.
This document discusses vibration monitoring and analysis techniques for machine maintenance. It covers three types of maintenance schemes: breakdown, preventive, and condition-based maintenance. Vibration monitoring is described as the most common condition monitoring method, where vibration levels are measured to predict failures. Two types of vibration monitoring systems - periodic and permanent - are outlined. Vibration analysis techniques including time-domain and frequency-domain analysis are explained. Data acquisition and interpretation methods are also summarized. The role of computers in vibration-based condition monitoring programs is briefly described.
Real Time Condition Monitoring of Power Plant through DNP3 ProtocolIJRES Journal
condition monitoring plays an important role in the functioning of heavy rotating systems. The working of these systems need to be monitored continuously and the reading are to taken into account. This mechanism became easy with the generation of the microprocessors. The readings can be acquired and stored them into the servers. With the advent of increasing internet facility’s the data acquiring, controlling and sharing has became an easy task through various protocols. Using this techniques the systems readings are noticed by the operator, even though he is not concerning machine.
SYNCHROPHASOR DATA BASED INTELLIGENT ALGORITHM FOR REAL TIME EVENT DETECTION ...IAEME Publication
The wide area measurement system (WAMS) has been installed at several locations in power system. Phasor measurements units (PMU) are considered as the building blocks of WAMS are being installed at various locations of power system. PMU is sending very large volume of data to Power system control center with the sampling rate of 50 or 25 samples per second. However there are always several events per day occurring in the system but the rate at which data is received and the volume of data to be analyzed is a big challenge for power system engineer. There is a need for developing an intelligent system to handle large volume of Synchrophasor data and identify Power system event in the present context. This paper presents an intelligent algorithm to automatically detect such events using wide area measurements in real time. In this work, Synchrophasor measurements received from PMU are fed to KNN based pattern recognition algorithm which is used to identify the Power system events. The severity and the type of the event can be judged through the change in voltage magnitude and phase angle at various buses. The developed algorithm is tested for IEEE 14 bus system and results are verified.
Improving continuous process operation using data analytics delta v applicati...Emerson Exchange
The document discusses applying data analytics to improve continuous process operation. It describes developing models using process data to enable online fault detection and quality parameter prediction. A field trial was conducted on a CO2 recovery process that uses a 2-stage flash skid. The data analytics models allow operators to more quickly respond to conditions impacting process operation and quality.
IRJET- Real Time Water Monitoring SystemIRJET Journal
The document describes the development of a real-time water monitoring system that uses sensors to measure parameters like turbidity, dissolved oxygen, temperature, and conductivity of water samples. The system transmits sensor data wirelessly to a transmitter and cloud server to allow for remote monitoring. Test results showed changes in water parameter levels in response to added impurities, demonstrating the system's ability to detect changes in water quality over time.
IRJET- IoT based Flow Analyzing and Alerting SystemIRJET Journal
This document describes an IoT-based system for continuously measuring and analyzing water flow from a dam. The system uses flow sensors placed at multiple points along a river to measure flow rate, velocity, time taken, and distance covered. A Raspberry Pi processes the sensor data and stores it on the cloud. If the flow exceeds a threshold, an alert is sent. The system provides real-time water flow data and analysis in a tabular format to help monitor for flooding. It is a low-cost, efficient method for continuous water flow measurement and alerting.
Here my project theme is to monitor and control Transformer health using Arduino, as we all know there are both internal and external faults occur in the transformer, for internal faults we use Buchholz relay and Differential protection relay for external but it is not efficient with time. so,we use Arduino for real time protection, here we fix some values to the Arduino in the program itself according to the rating of the transformer by that we monitor and control whenever the faults occur
This document proposes methods for generating electricity from speed breakers. It discusses 5 classifications of speed breaker power generators that use different mechanisms: 1) a chain drive mechanism, 2) a rack and pinion system, 3) direct use of the load through a reciprocating device, 4) a translator and stator topology, and 5) a pressure lever mechanism. The document also outlines the advantages of using speed breakers for power generation such as low cost and maintenance and being a renewable source. Some challenges are also noted such as selecting a suitable generator and dealing with rain damage.
Cassava waste water was used as an admixture to replace distilled water in ratios of 5%, 10%, 15%, and 20% for producing sandcrete blocks. 60 sandcrete blocks of size 450mm x 150mm x 225mm were produced with different admixture ratios and a control with 0% admixture. The blocks were cured for 7, 14, 21, and 28 days and then tested for moisture content, specific gravity, water absorption, and compressive strength. Test results showed that blocks with 20% cassava waste water admixture met the minimum compressive strength requirement of 3.30 N/mm2 set by Nigerian standards, indicating the potential of cassava waste water to improve sandcrete block quality and
The document presents a theorem on random fixed points in metric spaces. It begins with introductions to fixed point theory, random fixed point theory, and relevant definitions. The main result is Theorem 3.1, which proves that if a self-mapping E on a complete metric space X satisfies certain contraction conditions involving parameters between 0 and 1, then E has a unique fixed point. The proof constructs a Cauchy sequence that converges to the unique fixed point. The document contributes to the study of random equations and random fixed point theory, which has applications in nonlinear analysis, probability theory, and other fields.
1. The document discusses applying multi-curve reconstruction technology to seismic inversion to improve accuracy and reliability. It focuses on reconstructing SP and RMN curves from well logs that are affected by various distortions.
2. The process of reconstructing the curves involves removing baseline drift, standardizing values, applying linear filtering, and fitting the curves. This removes interference and retains valid lithological information.
3. Reconstructing high quality curves improves the resolution and credibility of seismic inversion results. The method is shown to effectively predict sand distribution with little error.
This document compares the performance of a Minimum-Mean-Square-Error (MMSE) adaptive receiver and a conventional Rake receiver for receiving Ultra-Wideband (UWB) signals over a multipath fading channel. It first describes the UWB pulse shapes and channel model used, including the 6th derivative of the Gaussian pulse and the IEEE 802.15.3a modified Saleh-Valenzuela channel model. It then discusses the Direct-Sequence and Time-Hopping transmission and multiple access schemes for UWB. The document presents the receiver structures for the MMSE adaptive receiver and Rake receiver and compares their performance using MATLAB simulations.
This document summarizes a study on establishing logging interpretation models for reservoir parameters like porosity, permeability, oil saturation, and gas saturation in the Gaotaizi Reservoir of the L Oilfield. Models were developed using core data from 4 wells and include:
1) A porosity model relating acoustic travel time to porosity with an error of 0.92%
2) A permeability model relating permeability to porosity with an error of 0.31%
3) An oil saturation model using resistivity data with empirically determined parameters
4) A method to determine original gas saturation from mercury injection data.
Application of the models improved interpretation precision and allowed recalculation of oil and gas reserves for the
This document discusses predicting spam videos on social media platforms using machine learning. It proposes using attributes like number of likes, comments, and view count to classify videos as spam or not spam. A predictive algorithm is developed that uses threshold values for attributes and natural language processing of comments to classify videos. Testing of the algorithm on a dataset achieved a spam prediction precision of 93.6%. Issues with small datasets decreasing accuracy are also discussed, along with continuing work to address this issue.
1) The study experimentally evaluated the compatibility relationship between polymer solutions and oil layers through core flooding tests with different permeability cores.
2) The results showed that injection rate decreased with increasing polymer concentration and molecular weight, and increased with permeability.
3) Based on the results, boundaries for injection capability were established and a compatibility chart was proposed to guide polymer solution selection for different sedimentary microfacies in the field based on permeability and pore size.
1. The document discusses the identification of lithologic traps in the D3 Member of the Gaonan Region using seismic attribute analysis, acoustic impedance inversion, and sedimentary microfacies analysis.
2. Several lithologic traps were identified in the I and II oil groups of the D3 Member, with the largest trap located between wells G46 and G146X1 covering an area of about 2.35 km2.
3. Impedance inversion, seismic attribute analysis, and sedimentary microfacies characterization using 3D seismic data helped determine the location and development of effective lithologic traps in the thin sandstone-shale interbeds of the target stratum.
This document examines using coal ash as a partial replacement for cement in concrete. Coal ash was substituted for cement at rates of 5%, 10%, and 15% by weight. Testing found that concrete with a 5% substitution of coal ash exhibited only a slight decrease in compressive strength of 2% at 28 days while gaining improved workability. Higher substitution rates of 10% and 15% coal ash led to greater decreases in compressive and tensile strength. The study concludes that a 5% substitution of coal ash for cement provides benefits of reduced cost and improved workability with minimal strength impacts, representing an effective use of a waste material that addresses sustainability.
Accounting professional judgment involves handling accounting events and compiling financial reports according to regulations and standards. However, professional judgment is sometimes manipulated to distort accounting information. The document discusses three ways manipulation occurs: 1) abandoning accounting principles, 2) optional changes to accounting policies, and 3) abuse of accounting estimates. The causes of manipulation include distorted motivations from corporate governance issues and catering to various stakeholder interests. Strengthening supervision and improving the accounting system are proposed to manage manipulation of professional judgment.
The document discusses research on the distribution of oil and water in the eastern block of the Chao202-2 area in China. It establishes standards for identifying oil, poor oil, dry, and water layers using well logging data. Analysis shows structural reservoirs are dominant and fault and sand body configuration control oil-water distribution. Oil-water distribution varies between fault blocks from "up oil, bottom water" to "up water, bottom oil" depending on structure and sand body development.
This document discusses the application of meta-learning algorithms in banking sector data mining for fraud detection. It proposes using Classification and Regression Tree (CART), AdaBoost, LogitBoost, Bagging and Dagging algorithms for classification of banking transaction data. The experimental results show that Bagging algorithm has the best performance with the lowest misclassification rate, making it effective for banking fraud detection through data mining. Data mining can help banks detect patterns for applications like credit scoring, payment default prediction, fraud detection and risk management by analyzing customer transaction history and loan details.
This document presents a numerical solution for unsteady heat and mass transfer flow past an infinite vertical plate with variable thermal conductivity, taking into account Dufour number and heat source effects. The governing equations are non-linear and coupled, and were solved numerically using an implicit finite difference scheme. Various parameters, including Dufour number and heat source, were found to influence the velocity, temperature, and concentration profiles. Skin friction, Nusselt number, and Sherwood number were also calculated.
The document discusses methods for obtaining a background image using depth information from a depth camera to more accurately extract foreground objects. It finds that accumulating depth images and taking the median value at each pixel provides the most accurate background image. The accuracy of three methods - average, median, and mode - are evaluated using simulated depth data of a captured plane. The median method provides the best results, followed by average, while mode performs worst. More accumulated images provide a more accurate background image across all methods.
This document presents a mathematical model for determining the minimum overtaking sight distance (OSDm) required for an ascending vehicle to safely pass another slower vehicle on a single lane highway with an incline. It defines sight distance, stopping sight distance, perception-reaction time and derives equations to calculate the reaction distance (d1), overtaking distance (d2), vehicle travel distance during overtaking (d3), and total minimum OSDm based on vehicle characteristics, road geometry, and coefficients of friction. The safe overtaking zone is defined as 3 times the minimum OSDm. The model accounts for effects of slope angle and aims to satisfy laws of mechanics for overtaking maneuvers on inclined two-way single lane highways.
This document discusses a novel technique for better analysis of ice properties using Kalman filtering. It summarizes previous research on sea ice segmentation using SAR imagery and dual polarization techniques. It proposes using an automated SAR algorithm along with Kalman filtering to more accurately detect sea ice properties from RADARSAT1 and RADARSAT2 imagery data. The document reviews techniques for image segmentation, dual polarization, PMA detection, and related work on sea ice classification using statistical ice properties, edge preserving region models, and object extraction methods.
This document summarizes a study on the bioaccumulation of heavy metals in bass fish (Morone Saxatilis) caught at Rodoni Cape in the Adriatic Sea in Albania. Samples of bass fish were collected from five sites and analyzed for mercury, lead, and cadmium levels in their muscles. The concentrations of heavy metals varied between fish and sites but were below international limits for human consumption. While the fish were found to be safe for eating, the study recommends continuous monitoring of metal levels in fish from the area due to various factors that can influence metal uptake over time.
This document discusses optimal maintenance policies for repairable systems with linearly increasing hazard rates. It considers a system with a constant repair rate and predetermined availability requirement. There are two maintenance policies: corrective maintenance only, and preventive maintenance at set time intervals. The goal is to determine the preventive maintenance interval that guarantees the availability requirement at minimum cost. Equations are developed to calculate the availability under each policy and the optimal preventive maintenance interval based on both availability and cost. A numerical example is provided to demonstrate the decision process in determining the optimal policy.
This document analyzes the longitudinal medical costs of hypertensive diseases in Mexico from 2012 to 2050. It calculates probabilities of disease detection, treatment, and death by age and sex using historical Mexican health data. Medical costs are projected under base, optimal, and worse economic growth scenarios. Costs are higher for women and increase significantly after age 50. The maximum number of patients in treatment is between ages 20-29, decreasing until ages 65-69 for men and 60-64 for women before rising again with other age-related illnesses. Hypertensive disease costs are more expensive than diabetes and projected to increase as the population ages.
Details of description part II: Describing images in practice - Tech Forum 2024BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and transcript: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
How RPA Help in the Transportation and Logistics Industry.pptxSynapseIndia
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
Transcript: Details of description part II: Describing images in practice - T...BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
Performance Budgets for the Real World by Tammy EvertsScyllaDB
Performance budgets have been around for more than ten years. Over those years, we’ve learned a lot about what works, what doesn’t, and what we need to improve. In this session, Tammy revisits old assumptions about performance budgets and offers some new best practices. Topics include:
• Understanding performance budgets vs. performance goals
• Aligning budgets with user experience
• Pros and cons of Core Web Vitals
• How to stay on top of your budgets to fight regressions
The Rise of Supernetwork Data Intensive ComputingLarry Smarr
Invited Remote Lecture to SC21
The International Conference for High Performance Computing, Networking, Storage, and Analysis
St. Louis, Missouri
November 18, 2021
In this follow-up session on knowledge and prompt engineering, we will explore structured prompting, chain of thought prompting, iterative prompting, prompt optimization, emotional language prompts, and the inclusion of user signals and industry-specific data to enhance LLM performance.
Join EIS Founder & CEO Seth Earley and special guest Nick Usborne, Copywriter, Trainer, and Speaker, as they delve into these methodologies to improve AI-driven knowledge processes for employees and customers alike.
Hire a private investigator to get cell phone recordsHackersList
Learn what private investigators can legally do to obtain cell phone records and track phones, plus ethical considerations and alternatives for addressing privacy concerns.
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - MydbopsMydbops
This presentation, delivered at the Postgres Bangalore (PGBLR) Meetup-2 on June 29th, 2024, dives deep into connection pooling for PostgreSQL databases. Aakash M, a PostgreSQL Tech Lead at Mydbops, explores the challenges of managing numerous connections and explains how connection pooling optimizes performance and resource utilization.
Key Takeaways:
* Understand why connection pooling is essential for high-traffic applications
* Explore various connection poolers available for PostgreSQL, including pgbouncer
* Learn the configuration options and functionalities of pgbouncer
* Discover best practices for monitoring and troubleshooting connection pooling setups
* Gain insights into real-world use cases and considerations for production environments
This presentation is ideal for:
* Database administrators (DBAs)
* Developers working with PostgreSQL
* DevOps engineers
* Anyone interested in optimizing PostgreSQL performance
Contact info@mydbops.com for PostgreSQL Managed, Consulting and Remote DBA Services
AC Atlassian Coimbatore Session Slides( 22/06/2024)apoorva2579
This is the combined Sessions of ACE Atlassian Coimbatore event happened on 22nd June 2024
The session order is as follows:
1.AI and future of help desk by Rajesh Shanmugam
2. Harnessing the power of GenAI for your business by Siddharth
3. Fallacies of GenAI by Raju Kandaswamy
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/07/intels-approach-to-operationalizing-ai-in-the-manufacturing-sector-a-presentation-from-intel/
Tara Thimmanaik, AI Systems and Solutions Architect at Intel, presents the “Intel’s Approach to Operationalizing AI in the Manufacturing Sector,” tutorial at the May 2024 Embedded Vision Summit.
AI at the edge is powering a revolution in industrial IoT, from real-time processing and analytics that drive greater efficiency and learning to predictive maintenance. Intel is focused on developing tools and assets to help domain experts operationalize AI-based solutions in their fields of expertise.
In this talk, Thimmanaik explains how Intel’s software platforms simplify labor-intensive data upload, labeling, training, model optimization and retraining tasks. She shows how domain experts can quickly build vision models for a wide range of processes—detecting defective parts on a production line, reducing downtime on the factory floor, automating inventory management and other digitization and automation projects. And she introduces Intel-provided edge computing assets that empower faster localized insights and decisions, improving labor productivity through easy-to-use AI tools that democratize AI.
Navigating Post-Quantum Blockchain: Resilient Cryptography in Quantum Threatsanupriti
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⦿ What do we mean when we say patent quality?
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https://www.aurorapatents.com/patently-strategic-podcast.html
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20240702 QFM021 Machine Intelligence Reading List June 2024
A05910106
1. IOSR Journal of Engineering (IOSRJEN) www.iosrjen.org
ISSN (e): 2250-3021, ISSN (p): 2278-8719
Vol. 05, Issue 09 (September. 2015), ||V1|| PP 01-06
International organization of Scientific Research 1 | P a g e
A Fault Diagnosis Monitoring System of Reciprocating Pump
Wang Yong an
School of Computer & Information Technology, Northeast Petroleum University,Daqing 163318,China
Abstract: This paper develops the intelligent fault diagnosis system of reciprocating pump. The system takes
fault diagnosis system as the core, using the Visual c++ as the software language. The software controls the
data acquisition of pressure, position and flow signal synchronously. The different fault types corresponding
signal curve is also different, so the main fault signal is pressure signal, flow signal is auxiliary signal. Then use
the wavelet neural network which based on artificial intelligence theory and wavelet packet decomposition
technique for data processing, preservation and fault diagnosis. The diagnosis results from wavelet neural
network show that the intelligent fault diagnosis system of reciprocating pump has fast speed and high accuracy.
Keywords: Wavelet Neural Network; Reciprocating Pump; Fault Diagnosis; Diagnosis System
I. INTRODUCTION
Reciprocating Pump is one of the most important equipment of Oilfield. Because of the high efficiency,
strong adaptability, wide quantity of clean up, and it is easy and convenient to operate, moreover, working
process is stable and reliable, so it is widely used in water flooding, well drilling, fracturing, in oil and gas
processing station and transit[1]
. Reciprocating pump is also used as an important equipment to transport light
hydrocarbon in winter and filling methanol in gas. But some parts of Reciprocating pump are easy broken, such
as the pump valve assembly which is the key components of hydraulic side, it often fail to work because of the
bad working conditions, so it is very important to keep it in good repair and maintenance.
There are some problems during the condition monitoring and fault diagnosis of the reciprocating pump when it
is working.
1) Human judgment for fault, poor adaptability. It’s hard to find out various faults of reciprocating pump valve
by people through ‘listen’ and ‘see’, poor adaptability means that’s not conducive to promote.
2) Environment interference. Reciprocating pump working environment always inevitably be motor
disturbance, environment disturbs a lot in a routine test.
3) Artificial blind operation caused greater labor intensity.
4) The protection measures are not perfect.
In order to solve the above problems, the development of wavelet analysis and wavelet neural network
and the microcomputer testing technique can build intelligent fault diagnosis system of high performance, which
meets the field application. Experiments show that the diagnosis system is fast speed and high accuracy.
1. The Over All Scheme Of The System
The system make up of capacitive pressure sensor, magneto-electric flow sensor, signal amplifier, A/D
converter, a microcomputer. The system diagram is shown in Fig1. The design of this system mainly includes
two parts, hardware design and software design.
Usually the fault of reciprocating pump valve components is judged by the pressure gauge and flow
meter installed on the outlet pipe. The disadvantage of this method is that no one can determine which valve
failure occurs, therefore, all valves need to be checked, which not only increases the maintenance time, but also
increases the workload in this way. In recent years, vibration testing technology was applied in the fault
diagnosis of valve, the vibration signal collected at valve is used as the fault information and there are many
successful examples of signal processing and diagnosis. However, the structure of the reciprocating pump is
complex, valve turns off one by one and forming instantaneous lash, at the same time, there are a variety of
vibration source. So the fault diagnosis of reciprocating pump is mainly on single cylinder fault monitoring and
diagnosis using vibration testing technology, but for the three cylinder cooperative works and multi fault
simultaneous fault diagnosis is difficult to achieve, the fault characteristic signal can not be extracted from
vibration signal[2]
. So, the pressure sensor is installed in a reciprocating pump cylinder, and the pressure signal
in cylinder is used as the fault information, this can easily determine the specific location of the occurrence of
the fault. Meanwhile, the fault feature signal is extracted by wavelet packet analysis. Then, do r fault diagnosis
according to the characteristic signal obtained by using wavelet neural network theory.
The process of fault diagnosis for reciprocating pump is made up of three parts: The first part is the
2. A Fault Diagnosis Monitoring System Of Reciprocating Pump
International organization of Scientific Research 2 | P a g e
acquisition of the pressure signal of the pump chamber; The second part is to eliminate noise interference to
improve the diagnostic sensitivity and accuracy, extracting the fault feature from the pressure signal collected,
the paper uses wavelet packet analysis technique; The third part is based on the fault characteristic and other
diagnostic information to make a diagnosis decision, the wavelet neural network is established in this part and
determine the network structure to achieve, in practice, we first extract the signal of the teacher, training, input
neural network, and then collect the actual data and then characteristic extraction, by the comparison of the two,
the fault of the reciprocating pump can be diagnosed and determined.
1.1 Hardware Components of the System
The system is mainly composed of capacitance type pressure sensor, magneto-electric flow sensor,
reciprocating pump system working condition diagnosis monitoring meter, micro computer. The monitoring
meter based on port 485, isolation of RS-232 to RS-485 converter and two input module ADAM4520 and
ADAM4017 eight analog. It is used for data acquisition system, in addition, process the data that is transmitted
by the pressure transmitter preliminary, then transfer the data to the host after processing. The computer is
responsible for handling, storage and analysis of the data from the off-line monitor, which can also print results
when needed. The fault feature extraction and fault diagnosis are carried out using wavelet packet
decomposition and wavelet neural network.
1.2 Software Design System
In this paper, an eddy current sensor is installed on the cylinder block, using it as the time signal, which
can detect the plunger in the near power end in what position to stop, the outer trigger signal is obtained from
the signal emitted by the signal, the pressure signal in the pump cylinder is collected by the trigger point. The
specific position of the pressure transmitter in the pump cylinder of the pump is selected as the point of the
measurement, the pressure transmitter is used to measure and transmit the pressure values of the required field
for the test.
The software design of this system includes the following aspects:
(1) Establishment of the main programme framework;
(2) Connection mode and communication mode of the host to the monitoring meter;
(3) Real time data monitoring and save;
(4) Multichannel data real-time dynamic display.
The main interface of the system software is as Fig2. The design of the system includes the parameters
3. A Fault Diagnosis Monitoring System Of Reciprocating Pump
International organization of Scientific Research 3 | P a g e
setting, the synchronization of the sampling data, the database management and the technology of multi thread.
Fig2 Main interface of the system software
Parameters can be used to enter the pump parameters and sample parameters of the pump here. The
corresponding parameters are shown in Table 1.
Table 1 Sampling parameters
Piston number the pump plunger number of currently sampled
Frequency f pump frequency, unit of HZ;
Cycle the sample period, unit of ms;
Time setting system sampling time, unit of s;
At the main interface, there are two display surfaces, sampled data from four complete run cycles can
be completely dynamic display at the same time, one is pressure signal curve diagram composed by real-time
pressure signal, and the other is traffic signal curve of the collected traffic signal. In this case, the user can carry
on the reliable analysis and the essential record to the data on-line. Remote data can be displayed in real time.
Database management can realize historical data query, which is convenient offline analysis. It is
necessary for this system to build multiple threads since the application is needed to carry out data sampling,
dynamic display and fault analysis at the same time. When the system working, CPU rotate the time slice of the
three threads, so these three work can be carried out simultaneously, this makes full use of the spare time of
CPU, and avoid the user waiting for a long time for data analysis, so the real-time judgment of fault diagnosis is
achieved, more importantly avoiding the occurrence of greater losses.
II. APPLICATION OF FAULT DIAGNOSIS SYSTEM
Because the method of system is using the pressure signal as the fault characteristic information, this is
different from the conventional; in fact, the difference between the different faults can be seen from the
waveform of the pressure signal[3,4]
.
2.1 The pressure curve when the system at normal works
4. A Fault Diagnosis Monitoring System Of Reciprocating Pump
International organization of Scientific Research 4 | P a g e
When the system is in normal working condition, inlet valve and discharge valve work normal, sealed
tight, except for normal leakage, there is no leakage caused by failure, there is no fluctuation in the pressure and
pressure of the boost, the pressure curve is shown in Fig3.
Fig3 Normal pressure curve when normal works Fig4 Pressure curve of suction valve seal ring damaged
2.2 Pressure curves and analysis under various fault conditions
The main failure of the reciprocating pump occurs at the hydraulic end, and there are several forms:
(1) The pressure signal curve of the pump cylinder when the seal ring is broken
The seal ring is mainly divided into the suction valve seal damage and discharge valve seal damage.
First, the suction valve seal ring damage. The appearance of the characteristic is due to the suction seal ring in
damage, when the piston pump cavity liquid, pressurized liquid can leak from the suction valve sealing ring and
lead to boost process lag, and discharged process, due to the sealing ring damage of the suction valve, this leads
to the occurrence of the buck process in advance. The pressure signal curve is shown in Fig4.
Second, the discharge valve seal ring is in damage. The imbibition process, the pipeline liquid can flow
into the pump, resulting in the phenomenon of buck lag. The pressure signal curve is shown in Fig5.
Fig5 Pressure curve of suction valve spring damage Fig6 Pressure curve of suction valve spring damage
(2)Pressure change curve of spring fault
The fault of the spring can also be divided into the suction valve spring and the discharge valve spring
damage. After the suction valve spring damage, due to the valve back to the bit is not timely, resulting in the
boost process lag, as shown in Figure 6. When the discharge valve spring is damaged, the pressure change is
not obvious.
2.3 Pump valve damage
(1)Discharge sealing cover wears and tears, discharge valve wear failure and discharge valve sealing ring
damage is basically the same, performance as boost lag, buck ahead. The pressure signal curve is shown in
Figure 7.
(2)The sealing cover of the suction valve wear is shown in Figure 8.
2.4 Unreasonable operating parameters
When the speed of reciprocating pump plunger is too fast, it’s easy to lead valve close lax, which can
not reach the effective maximum and the minimum value of the pressure, so that the periodic secondary
maximum or minimum valve appears. The pressure curves are as in Fig9
Fig7 pressure curve chart of the discharge Fig8. Pressure curve diagram of suction
valve sealing cover wear valve cover wear
5. A Fault Diagnosis Monitoring System Of Reciprocating Pump
International organization of Scientific Research 5 | P a g e
Fig9 Pressure diagram of unreasonable operation parameters
Fig10 Flow chart of leakage pressure for piston
The phenomenon disappears when the frequency drops to a certain value. This phenomenon shows that the
reciprocating pump system has the optimized space.
2.5 Pressure and flow curves of plunger leakage
Pressure and flow curves of plunger leakage are shown in Figure 10.
For the fault diagnosis of the reciprocating pump, the pressure signal in the cylinder of a single pump is
used as the feature signal to extract the fault feature vector. In this paper, the original pressure signal is
decomposed by 3 layers of wavelet packet[5]
, constituted the 8 dimensional feature vectors to extract the fault
feature of a reciprocating pump, and as the input vector of wavelet neural network, so the number of input nodes
is 8. The author separately carries on the diagnosis to the reciprocating pump sealing ring fault, the valve wear
fault and the spring fault fault in three kinds of conditions, respectively (001), (010), (100) on behalf of these 3
conditions, as the target output of the network, the output node number is 3. The wavelet neural network uses 3
layers structure, the hidden layer wavelet is Morlet wavelet, the number of hidden nodes in the determination of
the use of the gradual test method. First set a error
E , the number of nodes of the hidden layer is smaller,
calculating its error E , Then compare
E with E . If
EE , the number of the hidden nodes is what we want;
Otherwise, the hidden layer node number add 1 then continue, until
EE , this can determine the number of
hidden nodes. After the experiment, the number of the hidden nodes is 12. Take the initial value of the study
rate 5.0 , momentum factor 85.0 , the accuracy of training error is 0.005, adopting compact wavelet
neural network, using 12 damaged sealed ring as sample, 12 valves wear sample and 12 spring fracture samples
to train for the network, the network after 358 steps of learning to meet the accuracy requirements. Sample input
to be diagnosed by the trained network; the sample and the diagnosis result see Table 2. According to the theory
of Euclidean norm, the test error of the test data are 0.0027, 0.0035 and 0.0043, it can be seen that these errors
are very small. In the application of this method, the correct rate of fault data of a large number of reciprocating
pumps is over 94%.
Table 2 Testing samples and the results
Fault type
Bad sealing ring Valve damage Spring damage
Verification
data
0.0000
1.0021
1.6012
1.4009
0.0000
0.2591
0.6390
0.2517
0.0002
9.9896
1.7002
1.0405
0.0000
0.0101
0.0399
0.2901
0.0079
5.6498
0.8197
1.0690
0.0001
0.5601
0.0812
0.0671
Diagnostic
output
0.0013
0.0030
0.9970
Fault 1 (001)
0.0075
1.0040
0.0130
Fault 2 (010)
0.9901
0.0022
0.0301
Fault 3 (100)
6. A Fault Diagnosis Monitoring System Of Reciprocating Pump
International organization of Scientific Research 6 | P a g e
III. CONCLUSIONS
This paper developed a comprehensive diagnosis monitoring system of reciprocating pump working
condition based on port 485, application of wavelet neural network and wavelet packet decomposition
technology for data processing, preservation and fault diagnosis.
According to the collected pressure, flow data, we can see the type of fault different, the corresponding
signal curve is also different, that indicates pressure signal based and flow signal as auxiliary is an effective fault
monitoring method for fault information extraction, from the results of wavelet neural network diagnosis, it can
be seen that the fault identification is correct and realistic. The comprehensive diagnostic technique is adapted to
all the reciprocating pump of oil field surface, now the polymer flooding has been widely spread, three yuan
compound drive is also in the industrialization test, there are about 2000 wells in injection well in the oilfield,
reciprocating pump has become the important equipment to injection technology in the injection system, this
technology has broad application prospect.
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[1]. Zhang Yunxia, Zhang Jinzhong. Development and Trend of the Reciprocating Pump[J] Modern Manufacturing Technology and
Equipment, 2006,5(174):19-21
[2]. Cui Mingjun. Fault Feature Extraction and Diagnosis of Reciprocating Pump based on HHT [D]. Mater’s Thesis. Da Qing: Da Qing
Petroleum Institute, 2006.
[3]. Wang Changzhong, Li Weiping, Wu Zhengjun. Fault Diagnosis Approach Based on RBF Neural Network for Valves of
Reciprocating Pumps [J]. Oil Field Equipment, 2011, 40( 1) : 24~ 27
[4]. Wang Dengfeng, Bai Xin. Study on Fault Diagnosis of Reciprocating Pump Based on Wavelet
[5]. Package Analysis and Probability Neutral Network [J]. Coal Mine Machinery. 2013,12:256-258
[6]. Zhang Qinghua and Benveniste. A Wavelet networks[J]. IEEE trans on NNJ, 1992, 3(6): 889-898.