Uncertainty analysis in degradation modeling for maintenance policy assessment. (June 2013)

• Record Type: Journal Article
• Authors: Baraldi, Piero; Compare, Michele; Zio, Enrico
• Is Part Of: Proceedings of the Institution of Mechanical Engineers. Volume 227:Number 3(2013)
• Page Start: 267
• Page End: 278
• Publication Date: 2013-06
• Subjects: Maintenance -- uncertainty -- imprecise model parameters -- fuzzy random variables; Reliability (Engineering) -- Mathematical models -- Periodiclals; Risk assessment -- Mathematical models -- Periodicals; Engineering design -- Mathematical models -- Periodicals; 620.00452
• DOI: 10.1177/1748006X13488479
• Languages: English
• ISSNs: 1748-006X

Abstract

We consider the problem of the evaluation of the maintenance policy of a component by means of degradation modeling. We assume that the stochastic laws governing the degradation process are uncertain, and so are the related parameters. We assume that the information available is in the form of qualitative judgment by an expert. We develop a representation framework based on possibility theory and the concept of fuzzy random variables. An example of application is given with reference to a medium-voltage circuit-breaker test facility.