Markovian Model-Based Sensitivity Analysis of Maintenance System

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...

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Bibliographic Details
Published in2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY) pp. 000117 - 000122
Main Authors Pokoradi, Laszlo, Gati, Jozsef
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2018
Subjects
Analytical models
Maintenance engineering
Mathematical model
Power generation
Sensitivity analysis
Stochastic processes
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Summary: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.
ISSN:1949-0488
DOI:10.1109/SISY.2018.8524692