DocumentCode :
2906256
Title :
Advanced diagnosis of broken bar fault in induction machines by using Discrete Wavelet Transform under time-varying condition
Author :
Gritli, Y. ; Rossi, C. ; Zarri, L. ; Filippetti, F. ; Chatti, A. ; Casadei, D. ; Stefani, A.
Author_Institution :
Nat. Inst. of Appl. Sci. & Technol., Univ. of Carthage, Tunis, Tunisia
fYear :
2011
fDate :
15-18 May 2011
Firstpage :
424
Lastpage :
429
Abstract :
The diagnosis of induction machine faults is commonly carried out by means of Motor Current Signature Analysis (MCSA), i.e., by classical spectrum analysis of the input currents. Specifically in case of broken bars, the amplitude of the left sideband component of a phase current is monitored in order to sense its signature. However MCSA has some drawbacks that are still under investigation. The main concern is that an efficient frequency transformation cannot be made under speed-varying condition, since slip and speed vary and so does the left sideband frequency. In this paper, an advanced use of the Discrete Wavelet Transform (DWT) is proposed to overcome the limitation of the classical approaches based on Fourier Analysis (FA). Experimental and simulation results show the validity of the developed approach, leading to an effective diagnosis method for broken bars in induction machines.
Keywords :
Fourier analysis; asynchronous machines; discrete wavelet transforms; Fourier analysis; MCSA; broken bar fault; discrete wavelet transform; induction machine; motor current signature analysis; phase current; time-varying condition; Approximation methods; Discrete wavelet transforms; Mathematical model; Rotors; Stators; Time frequency analysis; Transient analysis; Fault diagnosis; broken rotor bars; speed transient; wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Machines & Drives Conference (IEMDC), 2011 IEEE International
Conference_Location :
Niagara Falls, ON
Print_ISBN :
978-1-4577-0060-6
Type :
conf
DOI :
10.1109/IEMDC.2011.5994632
Filename :
5994632
Link To Document :
بازگشت