Bevel gearbox fault diagnosis using vibration measurements

Dennis Hartono, Dunant Halim, Achmad Widodo, Gethin Wyn Roberts

Research output: Journal PublicationConference articlepeer-review

2 Citations (Scopus)
3 Downloads (Pure)

Abstract

The use of vibration measurementanalysis has been proven to be effective for gearbox fault diagnosis. However, the complexity of vibration signals observed from a gearbox makes it difficult to accurately detectfaults in the gearbox. This work is based on a comparative study of several time-frequency signal processing methods that can be used to extract information from transient vibration signals containing useful diagnostic information. Experiments were performed on a bevel gearbox test rig using vibration measurements obtained from accelerometers. Initially, thediscrete wavelet transform was implemented for vibration signal analysis to extract the frequency content of signal from the relevant frequency region. Several time-frequency signal processing methods werethen incorporated to extract the fault features of vibration signals and their diagnostic performances were compared. It was shown thatthe Short Time Fourier Transform (STFT) could not offer a good time resolution to detect the periodicity of the faulty gear tooth due the difficulty in choosing an appropriate window length to capture the impulse signal. The Continuous Wavelet Transform (CWT), on the other hand, was suitable to detection of vibration transients generated by localized fault from a gearbox due to its multi-scale property. However, both methods still require a thorough visual inspection. In contrast, it was shown from the experiments that the diagnostic method using the Cepstrumanalysis could provide a direct indication of the faulty tooth without the need of a thorough visual inspection as required by CWT and STFT.

Original languageEnglish
Article number06002
JournalMATEC Web of Conferences
Volume59
DOIs
Publication statusPublished - 24 May 2016
Event2016 International Conference on Frontiers of Sensors Technologies, ICFST 2016 - Hong Kong, Hong Kong
Duration: 12 Mar 201614 Mar 2016

ASJC Scopus subject areas

  • Chemistry (all)
  • Materials Science (all)
  • Engineering (all)

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