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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
    Uncontrolled Keywords: condition-based maintenance, condition monitoring, proportional hazards model, stochastic filtering, residual life
    Themes: Subjects / Themes > Q Science > QA Mathematics > QA275 Mathematical Statistics
    Subjects outside of the University Themes
    Schools: Colleges and Schools > College of Business & Law > Salford Business School > Operations and Global Logistics Management
    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: 20 Jan 2014 20:53
    URI: http://usir.salford.ac.uk/id/eprint/2537

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