A Novel Method for Inverter Faults Detection and Diagnosis in PMSM Drives of HEVs based on Discrete Wavelet Transform
ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING, vol.12, no.4, pp.33-38, 2012 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 12 Issue: 4
- Publication Date: 2012
- Doi Number: 10.4316/aece.2012.04005
- Journal Name: ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Page Numbers: pp.33-38
- Ondokuz Mayıs University Affiliated: No
Abstract
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.