摘要
复杂系统的可靠性除受服役时间影响外,往往受工作温度、应力冲击等环境应力因素影响,仅考虑单一时间因素的T-S故障树分析方法存在一定局限,为此,提出考虑工作时间、工作温度、应力冲击等多种因素影响的多维T-S故障树分析方法及重要度算法。首先提出多维T-S故障树顶事件求解算法,构造基本事件多因素影响下的故障概率分布函数,根据基本事件输入规则和多维输入规则算法求解规则执行可能性,进而结合顶事件输出规则和多维输出规则算法求解系统多因素影响下的故障概率分布。在此基础上,提出多维T-S故障树概率重要度和关键重要度算法。最后,对电气、液压两种工程系统进行多维T-S故障树及重要度分析,除工作时间外,两种系统分别考虑工作温度、应力冲击影响,求得系统故障概率分布和基本事件重要度,相对于只考虑时间因素的T-S故障树分析方法,多维T-S故障树及重要度分析方法能获得更全面的可靠性信息,T-S故障树是多维T-S故障树的一种理想范型,多维T-S故障树是更一般、更通用的范型。
In addition to the service time,the reliability of complex system is often affected by environmental stress factors such as temperature,stress impact and other factors.Therefore,the fault tree analysis method which only considers the time factor has some limitations.The multi-dimension T-S fault tree and importance measure analysis methodology are proposed by considering the multi-factor influence,such as service time,temperature and stress impact.First,the top event solving algorithm of multi-dimensional T-S fault tree is put forward,which constructs the fault probability distribution functions of basic events under the influence of multiple factors.Then,the rule execution possibility is deduced based on input rules of basic events and multi-dimension input rule algorithm,and the system fault probability distribution is deduced based on output rules of top events and multi-dimensional output rule algorithm.Based on this foundation,the probability and the criticality importance measure of multi-dimensional T-S fault tree are presented.Finally,the multi-dimensional T-S fault tree and importance analysis of two typical engineering systems including the electrical system and the hydraulic system are carried out.In addition to service time,the influence of temperature and stress impact respectively work on the two systems,and the system fault probability distribution and the importance measures of basic events are obtained.Compared with the T-S fault tree analysis method which only considers the service time factor,multi-dimensional T-S fault tree and importance analysis methodology can be used to obtain more comprehensive reliability information,T-S fault tree is an ideal paradigm of multi-dimensional T-S fault tree,and multi-dimensional T-S fault tree is a more general paradigm.
作者
陈东宁
许敬宇
姚成玉
刘一鸣
Chen Dongning;Xu Jingyu;Yao Chengyu;Liu Yiming(Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control,Yanshan University,Qinhuangdao 066004,China;Key Laboratory of Advanced Forging&Stamping Technology and Science,Ministry of Education of China,Yanshan University,Qinhuangdao 066004,China;Key Laboratory of Industrial Computer Control Engineering of Hebei Province,Yanshan University,Qinhuangdao 066004,China)
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2020年第10期54-64,共11页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(51975508、51675460)
中国博士后科学基金(2017M621101)项目资助
关键词
多维T-S故障树
故障概率分布
重要度
multi-dimension T-S fault tree
fault probability distribution
importance measure
