Detection of torque oscillations in induction motor drives by linear discriminant analysis

L. Frosini, A. Albini, Francesca Beccarisi
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引用次数: 5

Abstract

This paper analyzes the effects of the load torque oscillations in the signals of current and external stray flux and verifies that the characteristic signatures of this fault are clearly present even in an inverter-fed induction motor. In addition, a method based on the Linear Discriminant Analysis and on the calculation of the first odd harmonics of these signals is proposed for an automatic detection of this fault. The performances of the classifiers trained with these data are tested in different conditions of supply frequency and load, showing a good diagnostic ability for the current-based classifier. On the other hand, the flux-based classifiers reveal the risk of obtaining misleading results when the flux sensors are not permanently installed on the motor, due to the strong dependence of this signal on the position of the sensors used for its acquisition.
基于线性判别分析的感应电机转矩振荡检测
本文分析了负载转矩振荡对电流和外部杂散磁通信号的影响,验证了该故障的特征特征即使在变频异步电动机中也明显存在。在此基础上,提出了一种基于线性判别分析和信号一次奇次谐波计算的故障自动检测方法。利用这些数据训练的分类器在不同的供电频率和负荷条件下进行了性能测试,表明基于电流的分类器具有良好的诊断能力。另一方面,当磁通传感器没有永久安装在电机上时,基于磁通的分类器暴露出获得误导性结果的风险,因为该信号对用于采集其的传感器的位置有很强的依赖性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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