Journal
IEEE TRANSACTIONS ON RELIABILITY
Volume 68, Issue 3, Pages 831-843Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TR.2019.2897026
Keywords
Birnbaum importance; cost-reliability relation; genetic algorithm (GA); optimization efficiency; reliability allocation optimization
Categories
Funding
- National Natural Science Foundation of China [71771186, 71871181, 71631001]
- 111 Project [B13044]
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Importance measure can be used to identify the most vulnerable components with respect to system functionality or failure. Traditional importance measures may not be effective to evaluate the contribution of an individual component if its reliability value does not fall in the full range between 0 and 1. Based on the cost-reliability relation, this paper proposes a generalized Birn-baum importance measure (GBIM) to quantify the contribution of individual components to system reliability improvement by considering reliability range, manufacturing complexity, and technology feasibility. Since GBIM possesses several unique features in terms of guiding system reliability optimization, in this paper, we further develop a GBIM-based genetic algorithm to solve a type of optimal reliability allocation problem. The numerical studies show that both the computational efficiency and the near global optimality based on GBIM outperforms the methods using the traditional importance measures.
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