摘要
针对具有多个失效模式系统的状态维修决策问题,对多个失效模式竞争发生情况进行分析,研究了多失效模式系统的退化变迁模型,根据状态失效过程估计系统不同失效模式的失效时刻,排序得到系统失效时刻序列。基于此退化描述模型分析多失效模式系统维修策略,构建了系统的期望平均维修费用和平均可用度模型。对构建的多决策变量模型,提出粒子群与单纯型逐步优化方法混合的优化求解算法。以仿真得到的传感器三类失效模式状态数据为例进行算例分析,验证了所提模型及算法的有效性。
Aiming at the condition maintenance decision problem of multifailure mechanism system, a degradation shift model was presented by analyzing multiple different failure mechanisms. According to the state failure process, different failure time of failure mechanism was estimated, and the failure sequence of system was calculated. Based on the degradation shift model, the maintenance strategy of multifailure mechanism system was analyzed, and the expectation model of average maintenance costs and availability were constructed. For the constructed multidecision variable model, a combine optimization algorithm of Nelder Mead Algorithm （NMA） and Particle Swarm Optimiza tion （PSO） was designed to solve it. The simulation data of sensor was applied to demonstrate the efficiency of the presented model and methods.
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2014年第1期165-172,共8页
Computer Integrated Manufacturing Systems
基金
空军工程大学科研创新基金资助项目(XS1101020)
上海市重点学科开放课题资助项目(J50103)~~
关键词
多失效模式
退化变迁
粒子群优化
单纯型法
维修决策
multi-failure mechanisms
degradation shift
particle swarm optimization
nelder mead algorithm
main-tenance decision
