Markovian Model-based Sensitivity Analysis of Maintenance System

被引：0
|
作者：
Pokoradi, Laszlo [1 ]
Gati, Jozsef [2 ]
机构：
[1] Obuda Univ, Inst Mechatron & Vehicle Engn, Budapest, Hungary
[2] Obuda Univ, Inst Mat & Mfg Sci, Budapest, Hungary
来源：
2018 IEEE 16TH INTERNATIONAL SYMPOSIUM ON INTELLIGENT SYSTEMS AND INFORMATICS (SISY 2018) | 2018年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Maintenance is one of the most important territories of engineering. From a mathematical point of view, maintenance is a discrete state space stochastic process without after-effects, so it can be modelled as a Markov-chain. After the determination of probability densities of changes of operational states and setting up the transition probability matrix, a matrix-algebraic method can be used for investigating these processes with systems approach analysis. This paper is aimed to discuss the possibilities of the use of simulation-based weighted sensitivity analysis of maintenance systems and processes. The proposed method helps decision making in maintenance management in cases of different engineering areas.
引用
收藏
页码：117 / 121
页数：5
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