Title :
Power system fault monitoring using wavelet transform
Author :
Charfi, Faiza ; Francois, B.
Author_Institution :
Ecole Nat. d´Ingenieurs de Sfax, Tunisia
Abstract :
This paper describes a method of detection and identification of three-phase voltage-source inverter faults, feeding an induction machine. The detection mechanism is based on wavelet decomposition. Daubechies 4 wavelet was selected as the wavelet base to perform stator current analysis during transients. Wavelet components appear to be useful for detecting, localizing and classifying the source of fault.
Keywords :
asynchronous machines; fault location; invertors; power system faults; power system measurement; stators; wavelet transforms; induction machine; power system fault monitoring; three-phase voltage-source inverter faults; wavelet decomposition; wavelet transform; Electrical fault detection; Fault detection; Fault diagnosis; Inverters; Monitoring; Power system faults; Transient analysis; Voltage; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Power Electronics Specialists Conference, 2004. PESC 04. 2004 IEEE 35th Annual
Print_ISBN :
0-7803-8399-0
DOI :
10.1109/PESC.2004.1355542
