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

Rotor Speed And Flux Estimation Of A Doubly-fed Induction Machine Using Extended Kalman Filter

Boussofa Ahmad .  Kidouche Madjid .  Ahriche Aimad . 
pages 266-273.


Induction Motor Faults Detection Using A Statistical Procedure Based-approach

Kouadri A. .  Kheldoun A. .  Hamadache M. .  Refoufi L. . 
pages 130-139.


Diagnosis Of Rotor Fault Using Neuro-fuzzy Inference System

Merabet H. .  Bahi T. .  Drici D. .  Halem N. .  Bedoud K. . 
pages 170-182.