Reliability modeling and optimization of K/N phased mission system with backup missions and global redundancy strategy

The mission success probability (MSP) is a critical indicator for phased mission systems (PMSs). In the modern aerospace industry, redundancy techniques, including component/phase redundancy, are commonly seen to increase the MSP of the whole system. These component/phase redundancies make the relia...

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Bibliographic Details
Published in:Quality and reliability engineering international 2024-03, Vol.40 (2), p.1061-1078
Main Authors: Li, Xiaopeng, Qin, Sha, Liu, Kanglun, Li, Yizhao
Format: Article
Language:English
Subjects:
Aerospace industry
backup missions
Genetic algorithms
global redundancy strategy
Markov process
Optimization models
phased mission system
Propulsion systems
Redundancy
Reliability analysis
Subsystems
system optimization
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Summary:The mission success probability (MSP) is a critical indicator for phased mission systems (PMSs). In the modern aerospace industry, redundancy techniques, including component/phase redundancy, are commonly seen to increase the MSP of the whole system. These component/phase redundancies make the reliability analysis more complex. Meanwhile, one or more components are required for normal working for different subsystems, called the K/N structure. In this article, a Markov‐process method is proposed for PMS with K/N subsystems and different redundancy strategies. Then, a universal system optimization model is proposed to optimize system structure and redundancy strategies for all subsystems at the same time. Then, an improved genetic algorithm (GA) is used to resolve the optimization problem. At last, a propulsion system is used as an engineering case, showing the proposed binary decision diagram‐based method.
ISSN:0748-8017
1099-1638
DOI:10.1002/qre.3456