Monitoring of gear wear progressions based on a modulation signal bispectrum analysis of vibration

Xiuquan Sun, Ruiliang Zhang, Kaibo Lu, Anwar M. Ahmaida, Fengshou Gu, Tie Wang

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

2 Citations (Scopus)

Abstract

Gear tooth wear is a common fault mode inevitably happened in gear transmission system, which could result in many failures such as surface pitting, scuffing, and tooth breakage. Moreover, the failures developed from tooth wear may cause catastrophic economic loss and safety hazard. Therefore, condition monitoring of gear tooth wear is critically important to ensure safe and reliable operations of gearbox systems. With the decades of development, many methods have been applied to the condition monitoring of gear transmission system, while among which vibration analysis are the most widely used and generally accepted method due to its high reliability and easy installation of sensors compared with other methods. Although vibration analysis has been developed for many decades, the techniques for gear wear monitoring have not been well-established. In order to strengthen research in this respect, this study will conduct vibration-based condition monitoring of gear tooth wear based on a run-to-failure test. Modulation Signal Bispectrum (MSB) allows an accurate diagnostic feature to be extracted due to its significant performances of noise suppression and sparse representation. Based on the run-to-failure data, it shows that MSB based monitoring trend shows better trending of the fault progression in terms of both diagnostic information completeness and computing efficiency, compared with well-known time synchronous averaging (TSA) based approaches.

Original languageEnglish
Title of host publicationProceedings of Sixteenth International Conference on Condition Monitoring and Asset Management (CM 2019)
PublisherBritish Institute of Non-Destructive Testing
ISBN (Print)9781510889774
Publication statusPublished - 1 Aug 2019
Event16th International Conference on Condition Monitoring and Asset Management - The Principle Grand Central Hotel, Glasgow, United Kingdom
Duration: 25 Jun 201927 Jun 2019
Conference number: 16
https://www.bindt.org/events/CM2019/ (Conference website. )

Conference

Conference16th International Conference on Condition Monitoring and Asset Management
Abbreviated titleCM2019
CountryUnited Kingdom
CityGlasgow
Period25/06/1927/06/19
Internet address

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