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Power quality intelligent diagnostic system based on the NI-PCI6251 platform

Author: ZhaoLiLi
Tutor: SunBin
School: Zhejiang University
Course: Circuits and Systems
Keywords: Power Quality Fault Diagnosis Fuzzy Neural Network Virtual instrument PCI-6251 card
CLC: TP277
Type: Master's thesis
Year: 2006
Downloads: 225
Quote: 2
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Abstract


With the development of science and technology as well as the improvement of people's living standards , the increasingly high demand on the power system , power quality is good or bad has drawn increasing attention . In order to ensure the normal operation of the people 's daily life as well as the production of the various parameters of the need for power quality monitoring and analysis based on monitoring data calculated power system operating conditions as well as the cause of the failure position , in order to take timely measures . A simply measuring instrument is far unable to meet the need multi-purpose high-precision test and measurement and fault diagnosis in an instrumentation power system in the focus of the study . In this paper, on the basis of the analysis of energy meters , according to the actual needs of the design of a smart power quality fault diagnosis system based on PCI-6251 board . First , after the analysis of the various parameters of the power quality , according to the actual needs of the basic display measurement function , and the various parameters of the power quality indicators calculated on this basis, according to the national standards for power quality monitoring . This paper will combine radial neural networks and fuzzy systems to establish a diagnostic network using error back propagation and ladder recursive method of training to improve the network , grid power failure diagnosis . This method not only reduces the computational complexity , to meet the real-time requirements of the system , and improve the accuracy rate of fault diagnosis . The subsequent processing of the data , the system will be connected to the database , historical data read from the database and the data stored in the database function , power quality data mining to lay the foundation for the overall analysis . At the same time increase the network capabilities of the system , the user can control access to the system , the form of the use of landing pages in remote , remote power quality detection and diagnosis . Virtual instrument development and application of our system to achieve the platform . The fault diagnosis system through virtual instrument to solve the traditional instrument features a single, high accuracy and inconvenient to use other shortcomings , taking into account the requirements of the accuracy of the instrument , and the latest high precision using NI M Series DAQ board data acquisition, so that the performance of this system has been significantly improved .

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Monitoring, alarm,fault diagnosis system
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