Open AccessA Novel Method for Inverter Faults Detection and Diagnosis in PMSM Drives of HEVs based on Discrete Wavelet Transform
Author(s) -
Mustafa Aktaş
Publication year - 2012
Publication title -
advances in electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 23
eISSN - 1844-7600
pISSN - 1582-7445
DOI - 10.4316/aece.2012.04005
Subject(s) - electronic circuit , discrete wavelet transform , computer science , inverter , wavelet , fault detection and isolation , control theory (sociology) , decomposition , wavelet transform , electronic engineering , engineering , artificial intelligence , electrical engineering , actuator , voltage , control (management) , ecology , biology
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 Synchro?nous 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