A novel gear fatigue monitoring indicator and its application to remaining useful life prediction for spur gear in intelligent manufacturing systems

Feng, K; Ji, JC; Ni, Q

A novel gear fatigue monitoring indicator and its application to remaining useful life prediction for spur gear in intelligent manufacturing systems

Feng, K Ji, JC Ni, Q

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Publisher:: ELSEVIER SCI LTD
Publication Type:: Journal Article
Citation:: International Journal of Fatigue, 2023, 168
Issue Date:: 2023-03-01

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Field	Value	Language
dc.contributor.author	Feng, K
dc.contributor.author	Ji, JC
dc.contributor.author	Ni, Q
dc.date.accessioned	2023-11-07T01:56:49Z
dc.date.available	2023-11-07T01:56:49Z
dc.date.issued	2023-03-01
dc.identifier.citation	International Journal of Fatigue, 2023, 168
dc.identifier.issn	0142-1123
dc.identifier.issn	1879-3452
dc.identifier.uri	http://hdl.handle.net/10453/173129
dc.description.abstract	With the material degradation of gear over its service lifespan, the gearbox is prone to fatigue, especially under harsh working environments. The interaction between gear fatigue and gear dynamics often results in high complexity measurements. This poses significant challenges to developing effective vibration-based techniques to monitor the gear fatigue propagation and predict its remaining useful life (RUL). To address this issue, a novel transmission error-based indicator is proposed to assess the fatigue severity, and then it is utilized to predict the RUL of the gearbox. The effectiveness of the proposed prognostic methodology is validated using endurance tests.
dc.language	English
dc.publisher	ELSEVIER SCI LTD
dc.relation.ispartof	International Journal of Fatigue
dc.relation.isbasedon	10.1016/j.ijfatigue.2022.107459
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0905 Civil Engineering, 0913 Mechanical Engineering
dc.subject.classification	Mechanical Engineering & Transports
dc.subject.classification	4005 Civil engineering
dc.subject.classification	4016 Materials engineering
dc.subject.classification	4017 Mechanical engineering
dc.title	A novel gear fatigue monitoring indicator and its application to remaining useful life prediction for spur gear in intelligent manufacturing systems
dc.type	Journal Article
utslib.citation.volume	168
utslib.for	0905 Civil Engineering
utslib.for	0913 Mechanical Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2023-11-07T01:56:48Z
pubs.publication-status	Published
pubs.volume	168

Abstract:

With the material degradation of gear over its service lifespan, the gearbox is prone to fatigue, especially under harsh working environments. The interaction between gear fatigue and gear dynamics often results in high complexity measurements. This poses significant challenges to developing effective vibration-based techniques to monitor the gear fatigue propagation and predict its remaining useful life (RUL). To address this issue, a novel transmission error-based indicator is proposed to assess the fatigue severity, and then it is utilized to predict the RUL of the gearbox. The effectiveness of the proposed prognostic methodology is validated using endurance tests.

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http://hdl.handle.net/10453/173129