Industrial Bearing Fault Detection Using Time-Frequency Analysis

Authors

  • Y. Bella Electrical Engineering Department, Ferhat Abbes Setif 1 University, Setif, Algeria
  • A. Oulmane Department of Mechanical Engineering, Polytechnic School of Montreal, Canada
  • M. Mostefai Electrical Engineering Department, Ferhat Abbes Setif 1 University, Setif, Algeria
Volume: 8 | Issue: 4 | Pages: 3294-3299 | August 2018 | https://doi.org/10.48084/etasr.2135

Abstract

Time-frequency fault detection techniques were applied in this study, for monitoring real life industrial bearing. For this aim, an experimental test bench was developed to emulate the bearing rotating motion and to measure the induced vibration signals. Dedicated software was used to analyze the acquired measurements in the time-frequency domain using several distributions with varying resolution. Results showed that each fault type exhibits a specific behavior in the time-frequency domain, which is exploited in the localization of the faulty component.

Keywords:

time-frequency domain, industrial bearing, nondestructive test, vibration analysis

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How to Cite

[1]
Y. Bella, A. Oulmane, and M. Mostefai, “Industrial Bearing Fault Detection Using Time-Frequency Analysis”, Eng. Technol. Appl. Sci. Res., vol. 8, no. 4, pp. 3294–3299, Aug. 2018.

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