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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

王玉梅 王娜

测控技术2009,Vol.28Issue(7):75-78,4.
测控技术2009,Vol.28Issue(7):75-78,4.

基于神经网络专家系统的高压断路器在线监测研究

Study on Online Monitoring of High Voltage Circuit Breaker Based on Neural Network and Expert System

王玉梅 1王娜2

作者信息

  • 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
  • 折叠

摘要

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 ob-tain the knowledge in the tradition expert system is also solved. The simulation results indicate that it is availa-ble for this method used in the breaker failure diagnosis and it also provides a new approach which is used to monitor state of the high voltage circuit breaker online.

关键词

高压断路器/神经网络/专家系统/在线监测

Key words

high voltage circuit breaker/neural network/expert system/on-line monitoring

分类

信息技术与安全科学

引用本文复制引用

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):75-78,4.

基金项目

河南省教育厅资助项目(2007470002) (2007470002)

测控技术

OA北大核心CSCDCSTPCD

1000-8829

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