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One universal method of complex system reliability, maintainability, supportability, testability quotas design and trade-off based on improved flower pollination algorithm

机译:基于改进的花授粉算法的复杂系统可靠性,可维护性,可支持性,可测试性配额设计和权衡的一种通用方法

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摘要

For modern complex system, quality has become a serious and difficult problem that restricts the generation of combat effectiveness. Withal, based on domestic and foreign research and analysis, this paper puts forward a trade-off method for complex system reliability, maintainability, supportability, testability (RMST) design, which is suitable for product design stage. First, aiming at the uncertain problem of complex system constrained optimization, the good-point set population initialization, Deb feasibility comparison method and epsilon constraint method are integrated into the flower pollination algorithm, to construct the algorithm for RMST quotas design and trade-off. Second, taking the typical series-parallel repairable system as an example, one general model for complex system RMST quotas design and trade-off based on effectiveness is constructed. Finally, take an unmanned nuclear radiation detection system as a typical case, to verify its feasibility, advantages, and disadvantages.
机译:对于现代复杂系统,质量已成为一个严肃而困难的问题,限制了战斗效率的产生。本文基于国内外研究和分析,提出了复杂系统可靠性,可维护性,可支持性,可测试性(RMST)设计的权衡方法,适用于产品设计阶段。首先,针对复杂系统受约束优化的不确定问题,良好点集合初始化,DEB可行性比较方法和epsilon约束方法集成到花授粉算法中,以构建RMST配额设计和折衷算法。其次,采用典型的系列并行可修复系统作为示例,构建了一种基于有效性的复杂系统RMST配额设计和权衡的一个通用模型。最后,采取无人核辐射检测系统作为典型案例,以验证其可行性,优缺点和缺点。

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