DocumentCode :
59288
Title :
Advanced Induction Motor Rotor Fault Diagnosis Via Continuous and Discrete Time–Frequency Tools
Author :
Pons-Llinares, Joan ; Antonino-Daviu, Jose A. ; Riera-Guasp, Martin ; Sang Bin Lee ; Tae-june Kang ; Chanseung Yang
Author_Institution :
Inst. de Ing. Energetica, Univ. Politec. de Valencia, València, Spain
Volume :
62
Issue :
3
fYear :
2015
fDate :
Mar-15
Firstpage :
1791
Lastpage :
1802
Abstract :
Transient-based fault diagnosis in induction motors has gained increasing attention over the recent years. This is due to its ability to avoid eventual wrong diagnostics of the conventional motor current signature analysis in certain industrial situations (presence of load toque oscillations, light loading conditions, and so on). However, the application of these transient methodologies requires the use of advanced signal processing tools. This paper presents a detailed comparison between the two main groups of transforms that are employed in transient analysis: discrete and continuous. This paper does not focus on trivial fault cases but on difficult real situations where the application of the conventional methods often leads to false diagnostics (outer bar breakages in double-cage motors, motors with rotor axial duct influence, and combined faults). Indeed, it is the first time that continuous tools are applied to some of these controversial situations. The results in this paper prove the special advantages of the continuous transforms, tearing down some false myths about their use.
Keywords :
fault diagnosis; induction motors; time-frequency analysis; advanced induction motor rotor fault diagnosis; advanced signal processing tools; continuous time-frequency tools; discrete time-frequency tools; double-cage motors; industrial situations; light loading conditions; load toque oscillations; motor current signature analysis; rotor axial duct influence; transient analysis; Discrete wavelet transforms; Harmonic analysis; Induction motors; Oscillators; Rotors; Transient analysis; AC motors; Fourier transforms; failure analysis; fault diagnosis; induction motors; maintenance; rotors; signal processing; transient analysis; wavelet transforms;
fLanguage :
English
Journal_Title :
Industrial Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0046
Type :
jour
DOI :
10.1109/TIE.2014.2355816
Filename :
6894134
Link To Document :
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