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

M J Carr and W Wang

Journal of Risk and Reliability, 2008, vol. 222, issue 1, 47-55

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.

Keywords: condition-based maintenance; condition monitoring; proportional hazards model; stochastic filtering; residual life (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1243/1748006XJRR76 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:risrel:v:222:y:2008:i:1:p:47-55

DOI: 10.1243/1748006XJRR76

Access Statistics for this article

More articles in Journal of Risk and Reliability
Bibliographic data for series maintained by SAGE Publications ().