Gearbox fault diagnosis under different operating conditions based on time synchronous average and ensemble empirical mode decomposition

Guan, L, Gu, F, Shao, Y, Fazenda, BM ORCID: https://orcid.org/0000-0002-3912-0582 and Ball, A 2009, Gearbox fault diagnosis under different operating conditions based on time synchronous average and ensemble empirical mode decomposition , in: ICROS-SICE International Joint Conference 2009, 18th - 21st August 2009, Fukuoka, Japan.

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Abstract

In this paper, a new method is proposed by combining ensemble empirical mode decomposition (EEMD) with order tracking techniques to analyse the vibration signals from a two stage helical gearbox. The method improves EEMD results in that it overcomes the potential deficiencies and achieves better order spectrum representation for fault diagnosis. Based on the analysis, a diagnostic feature is designed based on the order spectra of extracted IFMs for detection and separation of gearbox faults. Experimental results show this feature is sensitive to different fault severities and robust to the influences from operating conditions and remote sensor locations.

Item Type:	Conference or Workshop Item (Paper)
Themes:	Subjects / Themes > T Technology > TJ Mechanical engineering and machinery Subjects outside of the University Themes
Schools:	Schools > School of Computing, Science and Engineering Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title:	Proceedings of the ICROS-SICE International Joint Conference 2009
Publisher:	IEEE Xplore
Refereed:	Yes
Depositing User:	BM Fazenda
Date Deposited:	22 Jun 2010 09:24
Last Modified:	16 Feb 2022 09:22
URI:	https://usir.salford.ac.uk/id/eprint/9391

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