Fault Diagnosis of DC Motor Based on Parameter Estimation and Fuzzy ARTMAP
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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.
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关键词:
- 电动机 /
- 故障诊断 /
- 参数估计 /
- Fuzzy ARTMAP网络
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.-
Key words:
- electric motors /
- fault diagnosis /
- parameter estimations /
- Fuzzy ARTMAP neural networks
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