Condition-based maintenance for multi-component systems using importance measure and predictive information. Nguyen, K., Do, P., & Grall, A. International Journal of Systems Science: Operations & Logistics, 1(4):228–245, October, 2014. Publisher: Taylor & Francis _eprint: https://doi.org/10.1080/23302674.2014.983582![Condition-based maintenance for multi-component systems using importance measure and predictive information [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex This paper presents a predictive condition-based maintenance strategy for multi-component systems whose structure may impact components deterioration process. To select components for preventive maintenance actions, a decision rule relying on both structural importance measure of components and their predictive reliability that can be estimated at inspection times is proposed. For corrective maintenance actions, an adaptive opportunistic maintenance decision rule taking into account both the criticality level of components and logistic support constraints is introduced. Moreover, both economic and structure dependencies between components are studied and integrated in maintenance model. A 12-component system is finally introduced to illustrate the use and the performance of the proposed predictive maintenance strategy. Indeed, the proposed strategy provides more flexibility in maintenance decision-making, hence leading to significant profits in terms of maintenance cost when compared to existing strategies.
@article{nguyen_condition-based_2014,
title = {Condition-based maintenance for multi-component systems using importance measure and predictive information},
volume = {1},
issn = {2330-2674},
url = {https://doi.org/10.1080/23302674.2014.983582},
doi = {10.1080/23302674.2014.983582},
abstract = {This paper presents a predictive condition-based maintenance strategy for multi-component systems whose structure may impact components deterioration process. To select components for preventive maintenance actions, a decision rule relying on both structural importance measure of components and their predictive reliability that can be estimated at inspection times is proposed. For corrective maintenance actions, an adaptive opportunistic maintenance decision rule taking into account both the criticality level of components and logistic support constraints is introduced. Moreover, both economic and structure dependencies between components are studied and integrated in maintenance model. A 12-component system is finally introduced to illustrate the use and the performance of the proposed predictive maintenance strategy. Indeed, the proposed strategy provides more flexibility in maintenance decision-making, hence leading to significant profits in terms of maintenance cost when compared to existing strategies.},
number = {4},
urldate = {2021-10-28},
journal = {International Journal of Systems Science: Operations \& Logistics},
author = {Nguyen, Kim-Anh and Do, Phuc and Grall, Antoine},
month = oct,
year = {2014},
note = {Publisher: Taylor \& Francis
\_eprint: https://doi.org/10.1080/23302674.2014.983582},
keywords = {condition-based maintenance, gamma process, importance measure, multi-component system, reliability prediction},
pages = {228--245},
}
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