International journal of electronic and electrical engineering systems
Volume 1, Numéro 2, Pages 1-5
2018-06-30
Induction Motor’s Rotor Faults Diagnosis At Variable Speed Using An Stftmla Combination
Authors : Aimer A. F. . Boudinar A. H. . Khodja M. E. A. . Bendiabdellah A. .
Abstract
Induction motor diagnosis during speed variation is very difficult since the analyzed stator current become non-stationary; thus, the fault frequency signatures are impossible to determine. The use of the Short Time Fourier Transform (STFT) technique solves in part this problem. Indeed, the analysis of the signal on windows of short duration makes it possible to avoid the non-stationarity properties of the signal. Unfortunately, this technique has a poor frequency resolution when the chosen window duration is too short thus making the diagnosis unreliable. In this paper, the Maxima’s Location Algorithm (MLA) is associated with STFT to improve the efficiency of this technique. Experimental results on the rotor faults diagnosis during speed variations are presented in this paper to show the performances of this new approach.
Keywords
Induction motor, Rotor faults diagnosis, Time-Frequency Analysis, STFT, MLA
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