期刊
RELIABILITY ENGINEERING & SYSTEM SAFETY
卷 159, 期 -, 页码 153-160出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ress.2016.10.033
关键词
Reliability optimization; Reliability redundancy allocation problem; Parallel genetic algorithm; Redundancy strategy; Imperfect switching
资金
- National Research Foundation of Korea [21B20130000033] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
To maximize the reliability of a system, the traditional reliability redundancy allocation problem (RRAP) determines the component reliability and level of redundancy for each subsystem. This paper proposes an advanced RRAP that also considers the optimal redundancy strategy, either active or cold standby. In addition, new examples are presented for it. Furthermore, the exact reliability function for a cold standby redundant subsystem with an imperfect detector/switch is suggested, and is expected to replace the previous approximating model that has been used in most related studies. A parallel genetic algorithm for solving the RRAP as a mixed-integer nonlinear programming model is presented, and its performance is compared with those of previous studies by using numerical examples on three benchmark problems.
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