Title :
Fault diagnosis of three-phase PWM inverters using wavelet and SVM
Author :
Kim, Dong-Eok ; Lee, Dong-Choon
Author_Institution :
Dept. of Electr. Eng., Yeungnam Univ., Gyungbuk
fDate :
June 30 2008-July 2 2008
Abstract :
In this paper, a fault diagnosis scheme of three-phase PWM inverters is proposed, which is based on a discrete wavelet transform (DWT) and a pattern recognition algorithm called support vector machine (SVM). First, a discontinuity of current signal, which is usually caused by switch open-circuit faults, is detected by the DWT, and then fault detection and isolation are processed by the SVM. The proposed method is verified by simulation results.
Keywords :
PWM invertors; discrete wavelet transforms; electronic engineering computing; fault diagnosis; pattern recognition; support vector machines; discrete wavelet transform; fault detection; fault diagnosis; fault isolation; pattern recognition; support vector machine; switch open-circuit fault; three-phase PWM inverter; Circuit faults; Discrete Fourier transforms; Discrete wavelet transforms; Electrical fault detection; Fault detection; Fault diagnosis; Frequency; Pulse width modulation inverters; Support vector machines; Switches;
Conference_Titel :
Industrial Electronics, 2008. ISIE 2008. IEEE International Symposium on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4244-1665-3
Electronic_ISBN :
978-1-4244-1666-0
DOI :
10.1109/ISIE.2008.4676998
