基于最小二乘支持矢量机的异步电机转子故障诊断研究 classification of induction machine rotor faults based on least square support vector machine.pdfVIP

2006 年 5 月 电 工 技 术 学 报 Vol.21 No.5 第21 卷第 5 期 TRANSACTIONS OF CHINA ELECTROTECHNICAL SOCIETY May 2006 基于最小二乘支持矢量机的异步电机转子 故障诊断研究 1 2 1. 362021 2. 210098 摘要 1 1 关键词 中图分类号 TM343 Classification of Induction Machine Rotor Faults Based on Least Square Support Vector Machine Fang Ruiming 1 Ma Hongzhong2 1. Huaqiao University Quanzhou 362021 China 2. Hohai University Nanjing 210098 China Abstract A multi-class classification model for induction machine rotor fault diagnosis based on LSSVM Least Square Support Vector Machine is proposed. At first, the signals of the sample stator current are analyzed with FFT, and the normalized spectral characteristics are used as the inputs of SVMs, then the multi-class LSSVM classifiers are constructed according to the one-against-one strategy, finally, the four rotor fault types of induction machine are identified by the trained classifiers. The influences of some factors such as the error penalty, kernel function, and the coupling schemes of sub classifiers, on the accuracy, are also discussed. It is pointed out that the model can be improved by adopting RBF kernel function and mixture matrix coupling scheme. The experimental results show that the proposed approach has good accuracy and generalization performances. Keywords Least square support vector, induction machines, rotor fault, classifi