Fault Identification on a Bearing Component of a Rotating Machine Using Vibration Spectrum Analysis

Authors

  • KT Aminu Abubakar Tatari Ali Polytechnic Bauchi, Nigeria
  • B D Halilu Abubakar Tatari Ali Polytechnic Bauchi, Nigeria
  • D Y Dabs Abubakar Tatari Ali Polytechnic Bauchi, Nigeria
  • M A Sule Abubakar Tatari Ali Polytechnic Bauchi, Nigeria
  • S U Ibrahim Federal Polytechnic Kaltungo, Gombe, Nigeria

DOI:

https://doi.org/10.31695/IJASRE.2021.34059

Keywords:

Vibration, Fault Identification, Bearings, Signal Spectrum, Condition Monitoring

Abstract

This paper presents an analysis of the vibration behavior of a rotating machine based on the signal spectrum for detecting localized defects in rotating bearings. This approach can extract the characteristic frequencies related to the defect from the resonant frequency band of the vibration signal. The technique is demonstrated on a machine tool with ball bearings (bearing number “2” and bearing number “4”) under a simulated crack on the bearing cage. Experimental results show some preliminary evidence that the vibration spectrum technique can be used to locate and predict the failure of rotating machine rolling element bearings from vibration data.

References

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Published

2021-09-11

How to Cite

KT Aminu, B D Halilu, D Y Dabs, M A Sule, & S U Ibrahim. (2021). Fault Identification on a Bearing Component of a Rotating Machine Using Vibration Spectrum Analysis. International Journal of Advances in Scientific Research and Engineering (IJASRE), ISSN:2454-8006, 7(9), 37-42. https://doi.org/10.31695/IJASRE.2021.34059