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On the Opportunistic Predictive Maintenance Decision-Making for k-out-of-n:F Deteriorating Systems

Authors: Huynh, Khac Tuan; Barros, Anne; Bérenguer, Christophe;

On the Opportunistic Predictive Maintenance Decision-Making for k-out-of-n:F Deteriorating Systems

Abstract

This paper aims at showing the effectiveness of multi-levelmaintenance decision-making (i.e., system level and unit level) in the framework of condition-based maintenance (CBM) strategies applied to multi-unit systems. Specifically, based on the degradation/failure model of a k-out-of-n:F system, two opportunistic predictive maintenance strategies with different maintenance decision levels are proposed. In the first one, the decisions are relied only on the remaining lifetime (RUL) of the units, while in the second one, they are based on both RULs of the system and its units. The RUL is associated to a conditional reliability level calculated when an opportunity occurs (i.e., at inspection times), and maintenance actions are assumed perfect (i.e., replacement). The cost models of these strategies are developed on the basis of semi-regenerative theory, and are compared with each other. The comparison allows us to give some conclusions on the advantage of combining the maintenance decisions on both system level and unit level.

International audience

Keywords

[STAT.AP]Statistics [stat]/Applications [stat.AP], [SPI.AUTO] Engineering Sciences [physics]/Automatic, [STAT.AP] Statistics [stat]/Applications [stat.AP], Multi-level decision, k-out-of-n system, Opportunistic predictive maintenance, Semi-regenerative theory, Reliability, [SPI.AUTO]Engineering Sciences [physics]/Automatic

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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