Vibration-based Fault Diagnostic of a Spur Gearbox

Dennis Hartono, Dunant Halim, Gethin Wyn Roberts, Qianyu Liu

Research output: Journal PublicationConference articlepeer-review

1 Citation (Scopus)
3 Downloads (Pure)

Abstract

This paper presents comparative studies of Fast Fourier Transform (FFT), Short Time Fourier Transform (STFT) and Continuous Wavelet Transform (CWT) as several advanced time-frequency analysis methods for diagnosing an early stage of spur gear tooth failure. An incipient fault of a chipped tooth was investigated in this work using vibration measurements from a spur gearbox test rig. Time Synchronous Averaging was implemented for the analysis to enhance the clarity of fault feature from the gear of interest. Based on the experimental results and analysis, it was shown that FFT method could identify the location of the faulty gear with sufficient accuracy. On the other hand, Short Time Fourier Transform method could not provide the angular location information of the faulty gear. It was found that the Continuous Wavelet Transform method offered the best representation of angle-frequency representation. It was not only able to distinguish the difference between the normal and faulty gearboxes from the joint angle-frequency results but could also provide an accurate angular location of the faulty gear tooth in the gearbox.

Original languageEnglish
Article number02004
JournalMATEC Web of Conferences
Volume70
DOIs
Publication statusPublished - 11 Aug 2016
Event2016 3rd International Conference on Manufacturing and Industrial Technologies, ICMIT 2016 - Istanbul, Turkey
Duration: 25 May 201627 May 2016

ASJC Scopus subject areas

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

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