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基于神经网络专家系统的高压断路器在线监测研究
引用本文:王玉梅,王娜.基于神经网络专家系统的高压断路器在线监测研究[J].测控技术,2009,28(7).
作者姓名:王玉梅  王娜
作者单位:1. 河南理工大学,电气工程及其自动化学院,河南,焦作,454000
2. 河南工业职业技术学院,河南,南阳473009
基金项目:河南省教育厅资助项目 
摘    要:针对传统专家系统在断路器故障诊断中存在知识获取困难问题,提出了将RBF神经网络与专家系统融合的诊断方案,并通过引入可信度的概念对RBF神经网络算法进行改进,对原己形成的网络权值和阈值进行修正,使故障诊断算法具有诊断新故障类型的功能,又解决专家系统知识获取困难的瓶颈问题.结果表明,该方案合理可行,为高压断路器的在线监测提供了一种新的途径.

关 键 词:高压断路器  神经网络  专家系统  在线监测

Study on Online Monitoring of High Voltage Circuit Breaker Based on Neural Network and Expert System
WANG Yu-mei,WANG Na.Study on Online Monitoring of High Voltage Circuit Breaker Based on Neural Network and Expert System[J].Measurement & Control Technology,2009,28(7).
Authors:WANG Yu-mei  WANG Na
Affiliation:1.College of Electrical Engineering and Automation;Henan Polytechnic University;Jiaozuo 454000;China;2.Henan Polytechnic Institute;Nanyang 473009;China
Abstract:Aiming at the problem,the obtain knowledge difficult in the tradition expert system in the circuit breaker failure diagnosis,a diagnostic scheme combining RBF neural network with expert system is proposed. The original network weight and the threshold values are modified by using the concept of confidence level. Then the function used to diagnosis to the new breakdown failure type can be realize.And the problem to obtain the knowledge in the tradition expert system is also solved.The simulation results indi...
Keywords:high voltage circuit breaker  neural network  expert system  on-line monitoring
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