Vibration-based fault diagnostic of a spur gearbox

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

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.

Citation

Hartono, D., Halim, D., Roberts, G. W., & Liu, Q. (in press). Vibration-based fault diagnostic of a spur gearbox. MATEC Web of Conferences, 70, Article 02004. https://doi.org/10.1051/matecconf/20167002004

• Journal Article Type: Article
• Acceptance Date: Jan 1, 2016
• Online Publication Date: Aug 11, 2016
• Deposit Date: Oct 20, 2017
• Publicly Available Date: Oct 20, 2017
• Journal: MATEC Web of Conferences
• Electronic ISSN: 2261-236X
• Publisher: EDP Open
• Peer Reviewed: Peer Reviewed
• Volume: 70
• Article Number: 02004
• DOI: https://doi.org/10.1051/matecconf/20167002004
• Public URL: https://nottingham-repository.worktribe.com/output/805812
• Publisher URL: https://www.matec-conferences.org/articles/matecconf/abs/2016/33/matecconf_icmit2016_02004/matecconf_icmit2016_02004.html