首页 | 本学科首页   官方微博 | 高级检索  
     

基于神经网络的电机状态监测与早期故障诊断
引用本文:何雨傧,闫桂荣,徐健学,薛模根,盛玮,杨月诚. 基于神经网络的电机状态监测与早期故障诊断[J]. 电工技术学报, 1997, 0(5)
作者姓名:何雨傧  闫桂荣  徐健学  薛模根  盛玮  杨月诚
作者单位:西安交通大学
摘    要:基于定子不平衡电流的在线检测,探讨了联想记忆神经网络在电机故障诊断中的应用,模拟试验证实了该方法的有效性,为电机故障的在线监测与早期诊断提供了一条新的有效途径。

关 键 词:电机  故障诊断  监测

Condition Monitoring and Early Fault Diagnosis of Electrical Machines Using Neural Network
He Yubin Yan Guirong Xu Jianxue. Condition Monitoring and Early Fault Diagnosis of Electrical Machines Using Neural Network[J]. Transactions of China Electrotechnical Society, 1997, 0(5)
Authors:He Yubin Yan Guirong Xu Jianxue
Abstract:This paper presents a bidirectional associative memory neural network method for early fault detection and diagnosis of electrical machines. The effectiveness of the described method is demonstrated by simulation experiments based on the unbalanced stator currents. It provides a new way for the online detection and early warning of the faults of electrical machines.
Keywords:Electrical machine Fault diagnosis Neural network Associative memory
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号