RESEARCH PAPER
Opportunistic maintenance for a novel load-sharing system with dependent degradation rate and volatility
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Sichuan University, China
Submission date: 2024-07-13
Final revision date: 2024-08-22
Acceptance date: 2024-10-05
Online publication date: 2024-10-09
Publication date: 2024-10-09
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(1):194165
HIGHLIGHTS
- A novel load-sharing system is presented with dependent degradation rate and volatility.
- System reliability is derived with general degradation rate-volatility-load correlation.
- OM strategy is introduced for the novel loadsharing system with economic dependence.
KEYWORDS
TOPICS
ABSTRACT
For traditional degrading load-sharing systems, a typical assumption lies in the only effect of unit load on its degradation rate. However, motivated by a laser system example with positive correlation between degradation rate and volatility, we present a novel load-sharing system with general degradation rate-volatility-load correlation. Furthermore, to take account for unit economic dependence caused by sharable maintenance set-up cost, and the window period generated by the maintenance on some unit, opportunistic maintenance (OM) strategy is introduced to offer the opportunity of simultaneously maintaining another working unit under control-limit criteria. Based on the semi-regenerative process, the long-run average cost rate is minimized to obtain the optimal inspection interval, preventive maintenance and OM thresholds. Compared to the traditional condition-based maintenance strategy separately for each unit, the effectiveness of OM strategy is validated through numerical examples and case studies, offering broad managerial insights for engineers to reduce maintenance expenses.
ACKNOWLEDGEMENTS
This work is supported by National Natural Science Foundation of China (Grant: 72101170) and Sichuan Science and Technology Program (Grant: 2024NSFSC0947).
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CITATIONS (1):
1.
Condition-Based Operation and Maintenance Strategy for Load-Sharing Systems Based on Wiener Process
Wei Chen, Songhua Hao
IEEE Transactions on Reliability