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- Title
Reliability modeling and optimization of K/N phased mission system with backup missions and global redundancy strategy.
- Authors
Li, Xiaopeng; Qin, Sha; Liu, Kanglun; Li, Yizhao
- Abstract
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.
- Subjects
REDUNDANCY in engineering; BACK up systems; MATHEMATICAL optimization; GENETIC algorithms; PROPULSION systems; AEROSPACE industries
- Publication
Quality & Reliability Engineering International, 2024, Vol 40, Issue 2, p1061
- ISSN
0748-8017
- Publication type
Article
- DOI
10.1002/qre.3456