The probability distribution of maintenance cost of a system affected by the gamma process of degradation: Finite time solution
Tianjin Cheng,
Mahesh D. Pandey and
J.A.M. van der Weide
Reliability Engineering and System Safety, 2012, vol. 108, issue C, 65-76
Abstract:
The stochastic gamma process has been widely used to model uncertain degradation in engineering systems and structures. The optimization of the condition-based maintenance (CBM) policy is typically based on the minimization of the asymptotic cost rate. In the financial planning of a maintenance program, however, a more accurate prediction interval for the cost is needed for prudent decision making. The prediction interval cannot be estimated unless the probability distribution of cost is known. In this context, the asymptotic cost rate has a limited utility.
Keywords: Condition-based maintenance; Financial risk; Stochastic degradation; Gamma process; Characteristic function; Probability distribution; Maintenance optimization (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S095183201200110X
Full text for ScienceDirect subscribers only
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:eee:reensy:v:108:y:2012:i:c:p:65-76
DOI: 10.1016/j.ress.2012.06.005
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
Bibliographic data for series maintained by Catherine Liu ().