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A Comparative Study of Various Methods of Bearing Faults Diagnosis Using the Case Western Reserve University Data

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Abstract

Bearing is probably one of the most critical components of rotating machinery. They are employed to guide and support the shafts in rotating machinery. Therefore, any fault in the bearings can lead to losses on the level of production and equipments as well as potentially unsafe. For these reasons, the bearing fault diagnosis has received considerable attention from the research and engineering communities in recent years. The purpose of this study is to review the vibration analysis techniques and to explore their capabilities, advantages, and disadvantage in monitoring rolling element bearings.

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Acknowledgments

The authors wish to thank Case Western Reserve University for providing free access to the bearing vibration experimental data from their Web site.

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Authors and Affiliations

  1. Laboratory of Electrical Engineering of Guelma (LGEG), University 8 May 1945 Guelma, P.O. Box 401, 24000, Guelma, Algeria

    Adel Boudiaf & Abdelkrim Moussaoui

  2. The Research Center in Industrial Technologies, CRTI, P.O. Box 64, Cheraga, 16014, Algiers, Algeria

    Adel Boudiaf & Issam Atoui

  3. Intelligent Systems Research Laboratory, University of Sciences and Technology, Oran, Algeria

    Amine Dahane

Authors
  1. Adel Boudiaf
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  2. Abdelkrim Moussaoui
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  3. Amine Dahane
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  4. Issam Atoui
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Correspondence to Adel Boudiaf.

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Boudiaf, A., Moussaoui, A., Dahane, A. et al. A Comparative Study of Various Methods of Bearing Faults Diagnosis Using the Case Western Reserve University Data. J Fail. Anal. and Preven. 16, 271–284 (2016). https://doi.org/10.1007/s11668-016-0080-7

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  • DOI: https://doi.org/10.1007/s11668-016-0080-7

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