支持向量机在电机转子故障诊断识别中的应用

Application study on support vector machine in rotor fault diagnosis and recognition

提出了一种基于支持向量机的鼠笼式电机转子断条故障检测方法,通过对电机转子断条故障进行实验模拟,获取了采样信号,利用支持向量机(SVM)对故障样本进行训练,使得支持向量机(SVM)具有分类功能。最后,采用支持向量机(SVM)对电动机各种转子断条故障进行诊断分类,取得较满意的结果。

Squirrel-cage rotor broken bars fault detection method was put forward based on support vector machines. Through the simulation experiment of rotor broken bars fault, getting the experimental sample signal, using support vector machine （SVM） to carry out failure sample training, support vector machine （SVM） had the classification function. Finally, using support vector machine （SVM） to fault diagnose and classify of variety electric rotors broken bars, achieve more satisfactory results.