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基于神经网络专家系统的高压断路器故障诊断研究
引用本文:王娜,李婧.基于神经网络专家系统的高压断路器故障诊断研究[J].济源职业技术学院学报,2011(3):73-76.
作者姓名:王娜  李婧
作者单位:济源职业技术学院电气工程系;河南机电高等专科学校电子通信工程系;
摘    要:将神经网络与专家系统的融合技术应用于高压断路器故障诊断的研究,该系统利用神经网络鲁棒性好、学习功能强等优点,可以充分发挥专家系统逻辑推理能力,克服专家系统容错能力差和学习能力弱的缺点。仿真结果验证了该方法的有效性和可行性,为高压断路器的快速故障诊断提供了一条新的途径。

关 键 词:高压断路器  神经网络  专家系统  故障诊断

The Study of High-voltage Circuit Breaker Fault Diagnosis Based on Neural Network and Expert System
WANG Na,LI Jing.The Study of High-voltage Circuit Breaker Fault Diagnosis Based on Neural Network and Expert System[J].JOurnal of Jiyuan Vocational and Technical College,2011(3):73-76.
Authors:WANG Na  LI Jing
Institution:WANG Na1,LI Jing2(Department of Electrical Engineering,Jiyuan Vocational and Technical College,Jiyuan 459000 Henan,Department of Electronic Communications Engineering,Henan Mechanical and Electrical College,Xinxiang 453002,Henan)
Abstract:A synergetic technology based on neural network and expert system is applied to fault diagnosis system of high voltage circuit breaker. By using neural network robustness, learning ability and other advantages, the system can give full play to the logical reasoning ability for expert system. At the same time, it can overcome the shortcomings of the expert system' s poor fault tolerance and weak learning ability. The simulation indicates that this method is effective and feasible, at the same time it gives a new approach to quick fault diagnosis for high voltage circuit breaker.
Keywords:high voltage circuit breaker  neural network  expert system  fault diagnosis  
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