DocumentCode :
2652075
Title :
Advanced doubly fed induction machine diagnosis under time-varying condition
Author :
Gritli, Y. ; Stefani, A. ; Rossi, C. ; Filippetti, F. ; Chatti, A.
Author_Institution :
Nat. Inst. of Appl. Sci. & Technol., Tunis, Tunisia
fYear :
2010
fDate :
6-8 Sept. 2010
Firstpage :
1
Lastpage :
7
Abstract :
This paper introduces a new diagnostic technique for the detection of incipient electrical faults in Doubly Fed Induction Machine for wind power systems. In the considered application, the rotor is supplied by a static converter for the control of active and reactive power flows from the generator to the electrical grid. A new diagnostic method based on the rotor modulating signals pre-processing by Frequency Sliding and Discrete Wavelet Transform thereby is here proposed to detect stator and rotor faults dynamically over time. Experimental and simulation results demonstrate the effectiveness of the proposed approach under time-varying conditions.
Keywords :
asynchronous machines; discrete wavelet transforms; fault diagnosis; time-varying systems; wind power; advanced doubly fed induction machine diagnosis; discrete wavelet transform; frequency sliding; incipient electrical faults; time-varying condition; wind power systems; Approximation methods; Discrete wavelet transforms; Rotors; Stator windings; Time frequency analysis; Transient analysis; Doubly Fed Induction Machine; fault diagnosis; time-varying conditions; wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Machines (ICEM), 2010 XIX International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4244-4174-7
Electronic_ISBN :
978-1-4244-4175-4
Type :
conf
DOI :
10.1109/ICELMACH.2010.5608139
Filename :
5608139
Link To Document :
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