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Reliability optimization of linear consecutive-k-out-of-n: F systems driven by reconfigurable importance

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  • Wang, Dan
  • Si, Shubin
  • Cai, Zhiqiang
  • Zhao, Jiangbin

Abstract

As a typical kind of reconfigurable system, linear consecutive-k-out-of-n: F (Lin/Con/k/n: F) systems have a wide application in some complex engineering systems, such as oil pipeline systems, spacecraft relay station systems, and batch sampling-based quality control systems. Considering the high-reliability requirements for complex systems, how to improve the system reliability cost-effectively is critical to economically grantee the high reliability and long lifetime of practical systems. The reconfigurable features of Lin/Con/k/n: F systems provide a feasible integrated method, combining component rearrangement and component maintenance, to maximize the system's reliability after a period of operation. Moreover, the reconfigurable importance (RI) can evaluate the contribution of a component to improve the system reliability, and RI also can assess the relationship between component reliability and the optimal arrangement. Thus, a reconfigurable importance-based genetic algorithm (RIGA) is proposed to solve the reliability optimization problem of Lin/Con/k/n: F systems by utilizing the advantages of RI and GA. Experiment 1 (for typical systems) and Experiment 2 (for different types of components) are designed to illustrate the cost-effective characteristics of RIGA. In addition, a numerical example of production monitoring systems (PMS) further demonstrates the effectiveness of RI for guiding the solving process of the reliability optimization problem.

Suggested Citation

  • Wang, Dan & Si, Shubin & Cai, Zhiqiang & Zhao, Jiangbin, 2021. "Reliability optimization of linear consecutive-k-out-of-n: F systems driven by reconfigurable importance," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
  • Handle: RePEc:eee:reensy:v:216:y:2021:i:c:s0951832021005044
    DOI: 10.1016/j.ress.2021.107994
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    References listed on IDEAS

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    7. Liu, Mingli & Wang, Dan & Si, Shubin, 2023. "Mixed reliability importance-based solving algorithm design for the cost-constrained reliability optimization model," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
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    10. Dui, Hongyan & Tian, Tianzi & Zhao, Jiangbin & Wu, Shaomin, 2022. "Comparing with the joint importance under consideration of consecutive-k-out-of-n system structure changes," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    11. Wang, Yan & Hu, Linmin & Yang, Li & Li, Jing, 2022. "Reliability modeling and analysis for linear consecutive-k-out-of-n: F retrial systems with two maintenance activities," Reliability Engineering and System Safety, Elsevier, vol. 226(C).

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