Experimental Investigations on Finding Ball Bearing Defects Using Signature Analysis

Authors

  • K. Gunasekar Assistant Professor, Department of Mechanical Engineering, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India
  • A. Pugazhenthi Assistant Professor, Department of Mechanical Engineering Anna University, University College of Engineering, Dindigul, Tamil Nadu, India

DOI:

https://doi.org/10.51983/ajsat-2014.3.2.796

Keywords:

Signal characteristics, Time domain analysis, frequency domain analysis

Abstract

This paper presents for identify the defected bearing using vibration frequency. There have been a lot of researches on diagnosing rolling element bearing faults using wavelet analysis, but almost all methods are not ideal for picking up fault signal characteristics under strong noise. The rolling element bearing is used widely in all rotating components. It is one of the most susceptible components in a machine because it is most often under maximum load and high speed running conditions. This paper describes the suitability of vibration monitoring and analysis techniques to become aware of defects in antifriction bearings. Time domain analysis, frequency domain analysis and spike energy analysis have been working to identify different defects in bearings.

References

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Published

05-11-2014

How to Cite

Gunasekar, K., & Pugazhenthi, A. (2014). Experimental Investigations on Finding Ball Bearing Defects Using Signature Analysis. Asian Journal of Science and Applied Technology, 3(2), 5–7. https://doi.org/10.51983/ajsat-2014.3.2.796