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Bearing Fault Diagnosis in Induction Machine Based on Current Analysis Using High-Resolution Technique

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3 Author(s)
Mounir Djeddi ; Gipsa-lab, int the Institut National Polytechnique de Grenoble (INPG), 961 rue de la Houille Blanche 38402. Saint Martin d'Hères, Grenoble, France. e-mail: mounir ; Pierre Granjon ; Benoit Leprettre

In this paper, we propose to perform early fault diagnosis using high-resolution spectral analysis of the stator current to detect bearing faults in electrical induction machine. While most research works focus on mechanical vibration analysis, the originality of our work relies on the use of high-resolution methods to detect modulations in the stator current. We present the results obtained for real data to detect inner and outer raceway bearing defects made articially as well as bearing defects obtained through on-site ageing. The obtained results show that the proposed method yields better detection than classical spectum analysis.

Published in:

Diagnostics for Electric Machines, Power Electronics and Drives, 2007. SDEMPED 2007. IEEE International Symposium on

Date of Conference:

6-8 Sept. 2007