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Availability and maintenance modeling for a two-component system with dependent failures over a finite time horizon

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  • Qingan Qiu
  • Lirong Cui
  • Dejing Kong

Abstract

This article studies the availability and optimal maintenance policy for a two-component system with failure interaction over a finite time horizon. Failure of component 1 is soft and can only be detected by inspections. Failure of component 2 is hard and self-announcing. Each hard failure acts as a shock to the first component and increases its hazard rate. Periodic and opportunistic inspections (offered by failures of component 2) are used to reveal the failure of component 1 and followed by replacement decisions. Furthermore, age-based preventive replacement is performed for component 1. Under this maintenance policy, a recursive method is developed to obtain the availability measure of component 1. Furthermore, the total maintenance cost of component 1 over a finite time horizon is analyzed. The objective is to find the optimal maintenance policy for component 1 such that the expected total cost is minimized. A case study on electrical distribution system is provided to validate the effectiveness of the adopted approach.

Suggested Citation

  • Qingan Qiu & Lirong Cui & Dejing Kong, 2019. "Availability and maintenance modeling for a two-component system with dependent failures over a finite time horizon," Journal of Risk and Reliability, , vol. 233(2), pages 200-210, April.
    • Handle: RePEc:sae:risrel:v:233:y:2019:i:2:p:200-210
    DOI: 10.1177/1748006X18768713
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    References listed on IDEAS

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    Cited by:

    1. Wu, Tianyi & Yang, Li & Ma, Xiaobing & Zhang, Zihan & Zhao, Yu, 2020. "Dynamic maintenance strategy with iteratively updated group information," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    2. Hu, Jiawen & Shen, Jingyuan & Shen, Lijuan, 2020. "Opportunistic maintenance for two-component series systems subject to dependent degradation and shock," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
    3. Xian Zhao & Xinqian Huang & Jinglei Sun, 2020. "Reliability modeling and maintenance optimization for the two-unit system with preset self-repairing mechanism," Journal of Risk and Reliability, , vol. 234(2), pages 221-234, April.
    4. Chen, Yuan & Qiu, Qingan & Zhao, Xian, 2022. "Condition-based opportunistic maintenance policies with two-phase inspections for continuous-state systems," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    5. Zhang, Wenyu & Zhang, Xiaohong & He, Shuguang & Zhao, Xing & He, Zhen, 2024. "Optimal condition-based maintenance policy for multi-component repairable systems with economic dependence in a finite-horizon," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    6. Hanfei Wang & Yuya Mitake & Yusuke Tsutsui & Salman Alfarisi & Yoshiki Shimomura, 2023. "A Vulnerability Assessment Framework for Product-Service Systems Based on Variation Mode and Effect Analysis," Sustainability, MDPI, vol. 15(6), pages 1-23, March.
    7. Meango, Toualith Jean-Marc & Ouali, Mohamed-Salah, 2020. "Failure interaction model based on extreme shock and Markov processes," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    8. Alotaibi, Naif M. & Scarf, Philip & Cavalcante, Cristiano A.V. & Lopes, Rodrigo S. & de Oliveira e Silva, André Luiz & Rodrigues, Augusto J.S. & Alyami, Salem A., 2023. "Modified-opportunistic inspection and the case of remote, groundwater well-heads," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    9. Yousefi, Nooshin & Coit, David W. & Song, Sanling, 2020. "Reliability analysis of systems considering clusters of dependent degrading components," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    10. Hui-Ying Wang & Zhao-Qiang Wang, 2022. "A condition-based preventive replacement policy with imperfect manual inspection for a two-stage deterioration process," Journal of Risk and Reliability, , vol. 236(2), pages 225-236, April.
    11. Qinglai Dong & Lirong Cui & Hongda Gao, 2019. "A bivariate replacement policy for an imperfect repair system based on geometric processes," Journal of Risk and Reliability, , vol. 233(4), pages 670-681, August.

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