电动机故障诊断技术探讨

基金项目:

国家自然科学基金资助项目（50967001）

详细信息

Study on fault diagnosis technologies of motor

1.
College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
2.
Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou 730050, China

摘要: 介绍了电动机常见电气故障和机械故障的类型及产生原因，详细阐述了短时傅里叶变换、小波变换、小波包变换、经验模态分解等基于信号处理的诊断方法，以及基于专家系统、模糊理论、支持向量机、神经网络等的智能诊断方法在电动机故障诊断中的应用，指出多种诊断方法相结合以及信息融合方法是电动机故障诊断技术的发展趋势。
- 电动机 /
- 故障诊断 /
- 信号处理 /
- 智能诊断
Abstract: The paper introduced types and causes of common electrical and mechanical faults of motor, and described application of signal processing methods and intelligent diagnosis methods in fault diagnosis of motor. The signal processing methods include short-time Fourier transform, wavelet transform, wavelet packet transform and empirical mode decomposition. The intelligent diagnosis methods include expert system, fuzzy theory, support vector machine and neural network. It also pointed out development trend of fault diagnosis technologies of motor is combination of multiple diagnosis methods and information fusion method.
- motor /
- fault diagnosis /
- signal processing /
- intelligent diagnosis