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- Title
Bearing Fault Diagnosis in Induction Machines Based on Electromagnetic Torque Spectral Frequencies Analysis.
- Authors
Touil, Abderrahim; Babaa, Fatima; Kratz, Frédéric; Bennis, Ouafae
- Abstract
The main aim of this article is to achieve predictive maintenance by proposing reliable residuals specific to outer ring bearing faults. Our work falls within the general context of maintenance, with particular emphasis on vibration analysis techniques. For an in-depth study of the fault, we use spectral analysis of electromagnetic torque, which gives very satisfactory results compared with work based on line current or neutral voltage fault signatures due to the similarity in the mechanical nature of the fault and the signal to be studied. In fact, an analytical calculation of the electromagnetic torque has been developed to obtain the specific frequencies of the fault under consideration. To highlight our results, the simulation of the analytical calculation of this fault was implemented in MATLAB/SIMULINK using the Fast Fourier Transform method to extract fault signatures. The induction motor's performance was analyzed under various operating conditions, including both healthy and faulty states. Finally, an experimental study will support our analytical developments.
- Subjects
FAULT diagnosis; BEARINGS (Machinery); MAGNETO-electric machines; FAST Fourier transforms; TORQUE; INDUCTION motors; INDUCTION machinery
- Publication
Journal Européen des Systèmes Automatisés, 2024, Vol 57, Issue 1, p255
- ISSN
1269-6935
- Publication type
Article
- DOI
10.18280/jesa.570124