北京航空航天大学学报 ›› 2001, Vol. 27 ›› Issue (3): 284-288.

• 论文 • 上一篇    下一篇

基于参数估计和FuzzyARTMAP的直流电动机故障诊断

杨静, 刘向群, 张洪钺   

  1. 北京航空航天大学 自动控制系
  • 收稿日期:1999-12-23 出版日期:2001-03-31 发布日期:2010-09-27
  • 作者简介:杨 静(1975-),女,湖南长沙人,博士生,100083,北京.

Fault Diagnosis of DC Motor Based on Parameter Estimation and Fuzzy ARTMAP

YANG Jing, LIU Xiang-qun, ZHANG Hong-yue   

  1. Beijing University of Aeronautics and Astronautics, Dept. of Automatic Control
  • Received:1999-12-23 Online:2001-03-31 Published:2010-09-27

摘要: 为提高电机质量和实现系统监控,提出用方波脉冲函数变换法估计电动机参数和用模糊自适应谐振网络(Fuzzy ARTMAP)进行电动机故障诊断.该方法可以在线获得电动机的机电参数,从而了解电动机的工作情况.充分利用Fuzzy ARTMAP网络的模式分类能力,不但可以诊断出故障的类型,还可以诊断出故障的严重程度.仿真及实验结果证明了所提方法的有效性.

Abstract: In order to improve the motor quality and realize system monitor, a new approach to diagnose motor faults is presented to estimate the electromechanical parameters of motor based on the block-pulse function series and classify motor faults based on Fuzzy ARTMAP neural network. The electromechanical parameters of motors can be acquired on line without stopping and loading motor. Thus therunning state of motor is obtained. Because of the strong pattern recognition ability of Fuzzy ARTMAP neural network, it is employed to diagnose the type and magnitude of faults. The effectiveness of the proposed method is verified by the results of simulations and experiments.

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