中国安全科学学报 ›› 2020, Vol. 30 ›› Issue (6): 1-7.doi: 10.16265/j.cnki.issn1003-3033.2020.06.001

• 安全科学理论与安全系统科学 •    下一篇

隔离-失能竞争失效机制下安全系统多目标优化设计

赵建强 副研究员, 熊彦铭** 副研究员, 张佑建 副研究员   

  1. 中国工程物理研究院 电子工程研究所,四川 绵阳 621000
  • 收稿日期:2020-03-14 修回日期:2020-05-11 出版日期:2020-06-28 发布日期:2021-01-28
  • 通讯作者: **熊彦铭(1983—),男,湖南株洲人,博士,副研究员,主要从事系统工程与安全性研究。E-mail:xymviva@126.com。
  • 作者简介:赵建强(1979—),男,四川绵阳人,硕士,副研究员,主要从事系统安全性分析与评估研究。E-mail:12890953@qq.com。
  • 基金资助:
    国家自然科学基金委员会-中国工程物理研究院NSAF联合基金资助(U1830133)。

Multi-objective optimization design for safety system based on isolation-inoperability competing failure mechanism

ZHAO Jianqiang, XIONG Yanming, ZHANG Youjian   

  1. Institute of Electronic Engineering, China Academy of Engineering Physics, Mianyang Sichuan 621000, China
  • Received:2020-03-14 Revised:2020-05-11 Online:2020-06-28 Published:2021-01-28

摘要: 为避免仅考虑单个性能指标造成的设计缺陷,提出一种基于隔离-失能竞争失效机制的安全系统多目标优化设计方法。该方法的核心是隔离部件和失能部件失效阈值的设定问题,针对该问题,利用确信安全失效率(PLOAS)、可靠性损耗、质量开销3个指标,分别表征失效阈值设定对系统的安全性、可靠性、质量这3个主要特性的影响;在此基础上,构建相应的多目标优化函数,并采用线性加权法,将多目标优化问题转化为单目标优化问题。结果表明:所提方法适用于求解基于隔离-失能竞争失效机制的安全系统多目标优化问题,可获得三目标优化问题或强安全约束条件下双目标优化问题的多组Pareto解。

关键词: 隔离-失能竞争失效机制, 安全系统, 确信安全失效率(PLOAS), 多目标优化, Pareto解

Abstract: In order to avoid single indicator-based design flaw, a multi-objective optimization design method of safety system based on isolation-inoperability competing failure mechanism was proposed. Considering that the core of this method was thresholds setting of isolation component and inoperability component, three performance indices, including PLOAS, reliability loss, mass cost, were utilized to express influence of thresholds setting on system safety, reliability, and mass respectively. On this basis, a relevant multi-objective optimization function was established, and linear weighted method was applied to converse multi-objective optimization problem to a single one. The results show that the proposed method is suitable for solving multi-objective optimization problem based on isolation-inoperability competing failure mechanism, and Pareto solution sets can be obtained not only for three objectives optimization problem, but also for two objectives optimization problem under strong restriction of safety.

Key words: isolation-inoperability competing failure mechanism, safety system, probability of loss of assured safety (PLOAS), multi-objective optimization, Pareto solution

中图分类号: