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자연과학대학
통계학전공
Journal papers
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On dynamic information-based life extension
Title
On dynamic information-based life extension
Authors
Finkelstein M.
;
Cha J.H.
;
Ghosh S.
Ewha Authors
차지환
SCOPUS Author ID
차지환
Issue Date
2021
Journal Title
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
ISSN
1748-006X
Citation
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability vol. 235, no. 4, pp. 690 - 699
Keywords
degradation
;
expected lifetime
;
failure threshold
;
life extension
;
Preventive maintenance
Publisher
SAGE Publications Ltd
Indexed
SCIE; SCOPUS
Document Type
Article
Abstract
When the level of degradation of a deteriorating system is observed at inspection, a decision can be made either to perform its preventive maintenance (PM) immediately or to postpone it. This type of policy can increase the expected lifetime of a system if executed in an optimal way. The main distinction from the previous works is that for optimal decision, we utilise the information on degradation, which enables to use optimally resources of a system. The case of one possible PM with the deterministic failure threshold is considered in detail. Generalisations to the cases of imperfect PM, several PMs and of a random failure threshold are discussed. The obtained optimal solutions are illustrated by numerical examples. © IMechE 2020.
DOI
10.1177/1748006X20980659
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