 A multivariate CBM model with a random and time-dependent failure thresholdR. Jiang Reliability Engineering and System Safety, 2013, vol. 119, issue C, 178-185 Abstract: In a condition-based maintenance setting, the degradation of an item is usually represented by several condition variables, and they can be combined into a composite condition variable. In this case, the functional failure threshold associated with the composite condition variable is usually not a fixed and known constant. It is an open issue to model the failure threshold and accordingly determine a threshold of preventive maintenance (PM). This paper addresses this issue. The condition variables are combined using a weighted power model, the failure threshold is represented by the Gaussian process model, and the PM threshold is determined by two approaches. Based on the gamma process and stress–strength interference models, the distributions of time to failure and to the PM threshold are derived, respectively. The appropriateness of the approach is illustrated by a real-world example. Keywords: Condition-based maintenance; Composite condition variable; Weighted power model; Failure threshold; PM threshold (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:119:y:2013:i:c:p:178-185 DOI: 10.1016/j.ress.2013.05.023 Access Statistics for this article Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares More articles in Reliability Engineering and System Safety from Elsevier |
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