A Novel Method for Inverter Faults Detection and Diagnosis in PMSM Drives of HEVs based on Discrete Wavelet Transform

被引：9

作者：

Aktas, Mustafa ^{[1
]}

机构：

[1] Karabuk Univ, Dept Elect & Elect Engn, TR-78050 Karabuk, Turkey

来源：

ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING | 2012年 / 12卷 / 04期

关键词：

Discrete Wavelet Transforms; Wavelet Packets; Fault Diagnosis; Electric Vehicles; Permanent Magnet Motors; MAGNET SYNCHRONOUS MOTOR; ELECTRIC MOTOR; SPEED CONTROL; SYSTEM;

D O I：

10.4316/AECE.2012.04005

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper proposes a novel method, based on wavelet decomposition, for detection and diagnosis of faults (switch short-circuits and switch open-circuits) in the driving systems with Field Oriented Controlled Permanent Magnet Synchronous Motors (PMSM) of Hybrid Electric Vehicles. The fault behaviour of the analyzed system was simulated by Matlab/SIMULINK R2010a. The stator currents during transients were analysed up to the sixth level detail wavelet decomposition by Symlet2 wavelet. The results prove that the proposed fault diagnosis system have very good capabilities.

引用

页码：33 / 38

页数：6

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