摘要
电动机控制系统运行中的故障诊断问题可视为特殊的模式识别问题,而ANN是处理模式识别最有效的技术之一。对用于故障诊断器的BP网络应用了改进算法,并提供了常见故障样本,读者可进一步扩充完善。实际使用证明该方法完全能完成故障的在线诊断。
The problem of failure diagnosis in electric motor control system can be treated as problem of particular pattern recognition, ANN（ artificial neural network） is one of the conventional sample, improved BP algorithm was taken to design the neural network for failure diagnosis. Real time application shows that the method can entriely fulfill the on- line failure diagnosis.
出处
《机械设计与制造》
北大核心
2006年第11期114-115,共2页
Machinery Design & Manufacture
关键词
电动机控制系统
人工神经网络
故障诊断
Electric motor control system
Artificial neural network
Failure diagnosis
