EventsThe 6th International Electronic Conference on Applied Sciences
Published
This submission belongs to the session S4. Electrical, Electronics and Communications Engineering of the event The 6th International Electronic Conference on Applied Sciences
Published date
03 Dec, 2025
Academic Editor
author-avatarAlessandro Lo Schiavo
Citation
Nassira Ferkha, Amin Later, abdelbari Guemraoui, Dounia Sedira, Diagnosis of Induction Machine Faults using Vibrations Analysis Technique, in Proceedings of The 6th International Electronic Conference on Applied Sciences, 9 December–11 December 2025, MDPI: Basel, Switzerland
Share
Email
Facebook
Twitter
LinkedIn

Diagnosis of Induction Machine Faults using Vibrations Analysis Technique

Amin Later 1
abdelbari Guemraoui 1
1. Laboratory of Electrical Engineering and Industrial Electronics (L2EI), Faculty of Science and Technology, University of Jijel, Jijel, Algeria, Algeria
Abstract

Abstract:This paper presents a new methodology for the diagnosis of induction machine faults. A modern and efficient diagnosis technique should be non-destructive. The proposed technique is based on the vibratory behavior analysis.

Introduction:Vibration analysis is a very interesting and recent technique because any change in the mechanical or electrical conditions of the machine affects its dynamic conditions and thus its vibration behavior.

Methodology:The virtual works method is applied locally for the magnetic force computation. To calculate the dynamic response of the stator to the magnetic force stresses, the dynamic equation must be solved. The vibratory response (acceleration) of the stator is equal to a linear combination of associated mode shapes.

Numerical calculation codes based on finite elements method are developed under Matlab environment to diagnosing rotor bar breakage, short circuit and other faults. These codes were applied in healthy and faulty cases of the machine.

The Fast Fourier Transform was investigated. So, we compared between the frequency spectra of the accelerations in the faulty and healthy cases, to predict the defect.

Results:The obtained results prove that vibration analysis technique has the advantage of allowing the detection and the localization of defects. More details and results proving the interest of this technique for the monitoring of the induction machines will be presented in the full paper.

Conclusion:This study has given more understanding of the dependent roles of vibration analysis in predicting and diagnosing machine faults. So, we have proved the interest of this technique for the monitoring of the electrical machines.

Keywords
Faults diagnosis
Vibration analysis
Induction machines
Frequency-Domain analysis
FFT
Finite elements method
Poster
Poster_ASEC_Ferkha_2025.pdf
Modelling stability of the residential electricity consumption
Sensitivity and Robustness Analysis of Proportional–Resonant Current Control for Six- Phase IMs