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Crossover point analysis with Jensen-Shannon divergence lower bound for bi-objective reliability optimization of k-out-of-n system

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  • Maneckshaw, B.
  • Mahapatra, G.S.

Abstract

This research presents a new approach to analyze the reliability of a ‘k-out-of-n’ system by calculating lower bounds for system reliability incorporating Jensen–Shannon divergence information. The system’s reliability is computed using a crossover polynomial function that connects subsystems, and the design life of subsystems is determined for a given mission time. A bi-objective redundancy reliability model is proposed to enhance the system’s reliability at the lowest cost. The model uses Jensen–Shannon lower bound scores and a non-dominated search procedure to produce optimal system reliability and cost. Two algorithms are presented — one for subsystem characteristic analysis and the other for producing optimal system reliability and cost. The proposed algorithm is demonstrated through numerical illustrations.

Suggested Citation

  • Maneckshaw, B. & Mahapatra, G.S., 2024. "Crossover point analysis with Jensen-Shannon divergence lower bound for bi-objective reliability optimization of k-out-of-n system," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
    • Handle: RePEc:eee:reensy:v:252:y:2024:i:c:s0951832024005520
    DOI: 10.1016/j.ress.2024.110480
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