Paper Info
Title
Assessment of diagnostic and prognostic condition indices for efficient and robust maintenance decision-making of systems subject to stress corrosion cracking.
Abstract
Seeking condition indices characterizing the health state of a system is a key problem in condition-based maintenance. For this purpose, diagnostic and prognostic models have been unceasingly developed and improved over the past few decades; nevertheless none of them explains thoroughly the impacts of such indices on the effectiveness of maintenance operations. As a complement to these efforts, this paper analyzes the effectiveness of some well-known diagnostic and prognostic indices for maintenance decision-making. The study is based on a system subject to competing risks due to multiple crack paths. A periodic inspection scheme is used to monitor the system health state. Each inspection returns the perfect diagnostic information: the number of cracks, corresponding crack sizes, and the system failure/working state. Based on this information, two kinds of prognostic condition indices are predicted: the average value and probability law of the system residual useful life. The associated condition-based maintenance strategies and cost models are then developed and compared with the ones whose maintenance decisions are based on diagnostic condition indices. The comparison results allow us to conclude on the performance and on the robustness of these strategies, hence giving some suggestions on the choice of reliable condition indices for maintenance decision-making.
Year
DOI
Venue
2017
10.1016/j.ress.2016.11.022
Reliability Engineering & System Safety
Keywords
Field
DocType
CBM,CM,SCC,HPP,HGP,DTS,RUL,MRL,PR,CR,pdf,cdf
Residual,Condition-based maintenance,Robustness (computer science),Engineering,Stress corrosion cracking,Reliability engineering
Journal
Volume
ISSN
Citations 
159
0951-8320
3
PageRank 
References 
Authors
0.38
20
3
Name
Order
Citations
PageRank
Khac Tuan Huynh1756.29
Antoine Grall211715.26
Christophe Bérenguer326219.23