Gear wear process monitoring using acoustic signals

Anwar Ahmaida, Dong Zhen, Fengshou Gu, Andrew Ball

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)


Airborne acoustic sigrvals contain valuable information from machines and can be detected remotely for condition monitoring. However, the signal is often seriously contaminated by various noises from the environment as well as nearby machines. This paper presents an acoustic based method of monitoring a two stage helical gearbox, a common power transmission system used in various industries. A single microphone is employed to measure the acoustics of the gearbox undergoing a run-to-failure test. To suppress the background noise and interferences from nearby machines a modulation signal bispectrum (MSB) analysis is applied to the signal. It is shown that the analysis allows the meshing frequency components and the associated shaft modulating components to be captured more accurately to set up a clear monitoring trend to indicate the tooth wear of the gears under test. The results demonstrate that acoustic signals in conjunction with efficient signal processing methods provide an effective monitoring of the gear transmission process.

Original languageEnglish
Title of host publication21st International Congress on Sound and Vibration 2014, ICSV 2014
PublisherInternational Institute of Acoustics and Vibrations
Number of pages8
ISBN (Electronic)9781634392389
Publication statusPublished - 2014
Event21st International Congress on Sound and Vibration 2014 - Beijing, China
Duration: 13 Jul 201417 Jul 2014


Conference21st International Congress on Sound and Vibration 2014
Abbreviated titleICSV 2014


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