一种基于SVM的开关磁阻电机故障检测方法

Method of Fault Detection for Switched Reluctance Motor Based on SVM

提出了一种基于支持向量机的开关磁阻电机故障检测方法,通过对相关信号的小波变换,提取故障特征信息,通过支持向量机对特征信号分类辨识。IGBT是开关磁阻电机功率变换器中的关键元件,通过试验仿真验证该方法能准确辨识IGBT元件的开路、短路、性能偏移等故障。

A new method of fault diagnosis for switched reluctance motor based on support vector machine was proposed.The wavelet analysis was applied to extract fault characteristic information.Support vector machine was used to classify and identify the characteristic signal.IGBT is the critical component in power converters for switched reluctance motor.Through simulation experiments,it is proved that the common fault of IGBT element such as open circuit,short circuit,performance deterioration etc.,can be accurately identified.