基于半马氏决策过程的电容器维修策略优化  

The optimization of capacitor maintenance strategy based on semi-Markov decision process

作　　者：金光[1] 肖磊[1] 厉海涛[1] 

机构地区：[1]国防科技大学信息系统与管理学院,湖南长沙410073

出　　处：《国防科技大学学报》2012年第1期78-81,共4页Journal of National University of Defense Technology

基　　金：国家自然科学基金资助项目(71071158);国家部委资助项目

摘　　要：针对电容器随机劣化失效的特点,采用半马氏决策过程解决其预防性维修方案设计和维修策略优化问题。在电容器随机劣化的Gaussian-Poisson模型基础上,以检测周期为优化变量,同时考虑预防性维修次数阈值的影响,建立电容器长期运行费用率优化模型。分析表明,对该型号电容器来说,预防性维修相比于事后修理更加有利于节省部件长期运行的费用率。For the characteristics of capacitor＇ s stochastic deterioration, the research studied the scheme design and strategy optimization problem of its preventive maintenance based on semi-Markov process. Taking the inspecting time as optimization variable and considering the threshold of preventive maintenance times, the research built the long-run expense rate optimizing model of the capacitor based on the Gaussian-Poisson process model of its stochastic deterioration. The analysis shows that for the capacitors preventive maintenance is superior to posterior replacement in the saving of long-run expense rate.

关 键 词：维修策略 预防性维修 半马氏决策过程 电容器 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]