基于最小二乘支持向量机的电动机故障诊断方法

Diagnosis of Asynchronous Motor Fault Based on LS-SVM

为从电动机频谱识别出故障电动机,先用CZT变换(线性调频Z变换)分析采集到的电动机数据进行分类,然后训练最小二乘向量机,再把相同维数的数据送入训练好的最小二乘向量机进行判断,最终得出用最小二乘向量机进行电动机故障诊断的准确性、可行性和可靠性。

In order to distinguish faulty motor,the collected data of motor frequency are analyzed and classified and then trained their LS-SVM（Least Square-Support Vector Machine）.The example calculated result shows the feasibility,reliability and accuracy of the treatment.