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具有不可比状态信息的可修MS-PMS可靠性分析
引用本文:张永进,孙有朝,张燕军,孙超勇.具有不可比状态信息的可修MS-PMS可靠性分析[J].系统工程理论与实践,2019,39(5):1326-1339.
作者姓名:张永进  孙有朝  张燕军  孙超勇
作者单位:1. 安徽工业大学 数理科学与工程学院, 马鞍山 243002;2. 南京航空航天大学 民航学院, 南京 211106;3. 扬州大学 机械工程学院, 扬州 225127
基金项目:教育部人文社科基金项目(17YJA630135);安徽省自然科学基金(1808085MG220);国家自然科学基金(U1333119,51605424)
摘    要:针对复杂多阶段任务系统(PMS)中存在的元件状态多态性和不可比性问题,提出了系统与元件两层的分层模块构建方法,应用连续时间Markov模型(CTMC)描述可修元件之间状态的相依和变迁的动态行为,应用多态多值决策图(MVDD)构建系统的结构函数.为处理元件状态不可比情形,将其分为组内、组间及无约束状态三组,应用CTMC构建了不同变迁约束下部件处于不同阶段时的状态组的联合概率模型,发展了具有不可比元件状态的多状态多阶段任务系统(MSPMS)可靠性分析方法.最后,通过简约形式的飞行任务系统实例,结果表明CTMC下分层分组模块分析方法能有效计算MS-PMS的可靠度,验证了模型与分析方法的可行性.

关 键 词:多态多阶段任务系统  马尔可夫链  多值决策图  不可比状态  可靠性  
收稿时间:2017-08-03

Reliability analysis for repairable MS-PMS with un-comparable states of components
ZHANG Yongjin,SUN Youchao,ZHANG Yanjun,SUN Chaoyong.Reliability analysis for repairable MS-PMS with un-comparable states of components[J].Systems Engineering —Theory & Practice,2019,39(5):1326-1339.
Authors:ZHANG Yongjin  SUN Youchao  ZHANG Yanjun  SUN Chaoyong
Institution:1. School of Mathematics and Physics, Anhui University of Technology, Maanshan 243002, China;2. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;3. School of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China
Abstract:For analyzing the component states which are multi-states and not comparable in the phased-mission system (PMS), the hierarchical manner is presented for the two levels including system and components. The continuous time Markov chain (CTMC) is used to depict the dependence and transition of states, and the multi-valued decision diagram (MVDD) to model the structure function of system. In order to deal with the states which are not comparable in PMS, the states are grouped as three types, i.e. in group, among group and no restriction. In the case of different transitions, the joint probability model of component states in all stages is developed based on CTMC, and the reliability models of MS-PMS with the states which cannot compared are presented. Finally, a practical example about flying mission system is used to illustrate the practicability, and the results indicate that the layered and grouped approach can compute the reliability of MS-PMS effectively.
Keywords:multi-state phased-mission system  Markov chain  multi-valued decision diagram  un-comparable state  reliability  
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