China Safety Science Journal ›› 2020, Vol. 30 ›› Issue (6): 1-7.doi: 10.16265/j.cnki.issn1003-3033.2020.06.001

• Safety science theory and safety system science •     Next Articles

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

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

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