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An Automated Feature Extraction Algorithm for Diagnosis of Gear Faults

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Abstract

Gears are used for the transfer of mechanical power and are an important part of the electromechanical transmission system. Unexpected failure of gear could cause shutdown of the machines and proves to be expensive in terms of production loss and maintenance. Therefore, reliable condition monitoring is required to protect unexpected gear failures. It has been highlighted in the recently published literature that the gear faults appear at the specific gear frequencies in the instantaneous power spectrum of the motor. However, the amplitudes of these gear frequencies are very small and are shadowed by the environment noise. Thus, reliable diagnosis of gear faults is a challenge in real-time fault diagnosis systems. This issue has been addressed in this paper through the development of the automated spectral extraction algorithm. The theoretical investigation has been verified through the custom-designed experimental test rig.

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Acknowledgment

The authors acknowledge the Najran University, Saudi Arabia, for providing funding and research facility. The authors also acknowledge the funding support by Universiti Teknologi PETRONAS, Malaysia, and Ministry of Higher Education, Malaysia, for the award of PRGS fund.

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Authors and Affiliations

  1. Electrical Engineering Department, Najran University, Najran, Kingdom of Saudi Arabia

    Muhammad Irfan & A. Alwadie

  2. Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Seri Iskander, Malaysia

    Nordin Saad & M. Aman Sheikh

  3. Department of Electrical, Electronic, and Information Engineering, Guglielmo Marconi, University of Bologna, Bologna, Italy

    M. Awais

  4. AGH University of Science and Technology, Kraków, Poland

    A. Glowacz

  5. Department of Electrical and Electronics Engineering, Karunya University, Karunya Nagar, Coimbatore, Tamilnadu, India

    V. Kumar

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  1. Muhammad Irfan
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  2. Nordin Saad
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  3. A. Alwadie
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  4. M. Awais
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Correspondence to Muhammad Irfan.

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Irfan, M., Saad, N., Alwadie, A. et al. An Automated Feature Extraction Algorithm for Diagnosis of Gear Faults. J Fail. Anal. and Preven. 19, 98–105 (2019). https://doi.org/10.1007/s11668-018-0573-7

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  • DOI: https://doi.org/10.1007/s11668-018-0573-7

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