A case comparison of a proportional hazards model and a stochastic filter for condition-based maintenance applications using oil-based condition monitoring information

Carr, MJ and Wang, W 2008, 'A case comparison of a proportional hazards model and a stochastic filter for condition-based maintenance applications using oil-based condition monitoring information' , Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 222 , pp. 47-55.

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Abstract

The ability to predict the expected time remaining before a component fails is crucial when scheduling maintenance activities and component replacements. The current paper presents a comparison of the proportional hazards model and a probabilistic filtering approach when applied to the estimation of a components residual life using stochastically related oil-based wear information. The condition information is collected at irregular monitoring points from aircraft engines and consists of the concentrations of various contaminating metallic particles in an oil sample. Issues regarding the use of multiple information parameters are also addressed.

Item Type:	Article
Themes:	Subjects / Themes > Q Science > QA Mathematics > QA275 Mathematical Statistics Subjects outside of the University Themes
Schools:	Schools > Salford Business School > Salford Business School Research Centre
Journal or Publication Title:	Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
Publisher:	Professional Engineering Publishing
Refereed:	Yes
ISSN:	1748-006X
Funders:	Engineering and Physical Sciences Research Council (EPSRC)
Depositing User:	W Wang
Date Deposited:	24 Nov 2009 09:21
Last Modified:	10 Aug 2017 00:22
URI:	http://usir.salford.ac.uk/id/eprint/2537

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