无刷同步发电机旋转整流器故障监测的人工智能诊断  

Diagnosis of Neural Network for Monitoring Rotating Rectifier Faults Generators with Brushless Excitation

作　　者：王海田[1] 刘念[1] 党晓强[1] 刘靖[1] 

机构地区：[1]四川大学电气工程学院,四川成都610065

出　　处：《东方电气评论》2003年第2期90-93,共4页Dongfang Electric Review

摘　　要：针对无刷同步发电机旋转整流器故障类型,采用人工智能模式识别技术准确识别故障,有效提高对同步发电机的故障监测水平。In order to improve stability of the synchronous generator in power system, based on 360kw synchronous generator , presents a new on line diagnosis method for monitoring rotating rectifiers, which by means of analog digital commutator(ADC) and neural network . And the more accurate mathematical model is approached actively. Aiming at the kind of the faults, the method uses neural network to improve the monitoring ability to synchronous generator effectively.

关 键 词：无刷同步发电机 旋转整流器 故障监测 人工智能 故障诊断 

分 类 号：TM46[电气工程—电器]