Component reassignment for reliability optimization of reconfigurable systems considering component degradation

Chenyang Ma, Qiyu Wang, Zhiqiang Cai, Shubin Si and Jiangbin Zhao

Reliability Engineering and System Safety, 2021, vol. 215, issue C

Abstract: This paper aims to optimize the lower bound of the reconfigurable system reliability by reassigning the degrading components, which is common in practical engineering systems. First, considering the reconfigurable linear consecutive k-out-of-n (Lin/Con/k/n) system, the reliability calculation method of components and the system with reassignment are derived, respectively. Then, the Delta importance (DI) based heuristics are proposed to perform component reassignment (CR). The heuristics utilize the importance ranking based on DI, searching the most important component to be reassigned iteratively. Third, CR problem (CRP) is presented to find the optimal time and scheme of reassigning components for maximizing the lower boundary of the system reliability during the mission. To address CRP, DI-based greedy algorithms are developed. Finally, the performance of the proposed methods is demonstrated by two experiments. Experiment 1 illustrates the effectiveness and efficiency of DI-based heuristics. Experiment 2 demonstrates the effectiveness and efficiency of DI-based greedy algorithms. In three situations, the average reliability improvement using DI-based genetic algorithm-greedy (DIGA-G) is improved by 24.35%, 19.98%, 12.95%, respectively. The results show that DIGA-G can achieve higher system reliability for CRP compared with the DI-based two-stage-greedy (DITS-G) algorithm.

Keywords: Component reassignment; reliability optimization; component degradation; reconfigurable system; Delta importance measure (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:215:y:2021:i:c:s0951832021003860

DOI: 10.1016/j.ress.2021.107867

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