复杂机械系统可靠度分配方法研究  

Research on Reliability Distribution Method of Complex Mechanical System

作　　者：李夫忠 杜红梅 宋冬利[2] 王志伟 吴华丽 LI Fuzhong;DU Hongmei;SONG Dongli;WANG Zhiwei;WU Huali(Chengdu Yunda Technology Co.,Ltd.,Chengdu 611731,China;State Key Laboratory of Traction Power,Southwest Jiaotong University,Chengdu 610031,China;China Railway Academy Co.,Ltd.,Chengdu 610000,China)

机构地区：[1]成都运达科技股份有限公司,四川成都611731 [2]西南交通大学,牵引动力国家重点实验室,四川成都610031 [3]中铁科学研究院有限公司,四川成都610000

出　　处：《机械制造与自动化》2019年第3期29-32,共4页Machine Building & Automation

基　　金：“十三五”国家重点研发计划(2016YFB1200401-102A);铁路总公司科技研究开发计划课题(2007J004-B)

摘　　要：建立了多状态多失效模式混合决策理论,实现了多状态多失效模式机械系统可靠度分配。首先,建立混合图,刻画了单元同一等级不同模式失效的混合关系;建立混合算子,确定单元多状态多失效模式可靠度分配决策。然后,建立串联系统可靠度决策模型,把系统可靠度分配给系统各状态。该模型比传统只考虑故障、完好两状态的系统可靠度分配方法更符合工程实际情况,考虑部件的完好、故障隐患、功能退化和完全失效等多种状态,能有效避免忽略故障隐患、功能退化两种状态的危害性。最后,通过受电弓系统多状态多失效模式可靠度分配的算例,验证该理论方法的可行性、有效性。The multi-state and multi-failure mode hybrid decision theory is established and the reliability distribution of multi-state and multi-failure modes is achieved.First of all,a hybrid graph is established,which is used to depict the mixed relationship between different modes on level with a cell.A hybrid operator is established,which is used to determine the reliability allocation of multi-state and multi-failure modes.Then,the decision-making model of series system reliability is established,and the system reliability is assigned to each state of the system.Compared with the traditional method of system reliability distribution,in which the fault and intact states are only considered,the model is more in line with the actual situation of the project.Considering the various states of the parts:good condition,hidden faults,functional degradation and complete failure,it can not ignore the dangers of hidden faults and the functional degradation.Finally,an example of the reliability distribution of multi-state and multi-failure modes of pantograph system is given to illustrate the feasibility and effectiveness of the theoretical method.

关 键 词：多状态多失效模式 机械系统 混合矩阵 可靠度分配 

分 类 号：TB114.3[理学—概率论与数理统计]