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Published in:
Introduction to Power Systems Read chapter Read first chapter

2011 | OriginalPaper | Chapter

8. Markov Processes

Author : Marko Čepin

Published in: Assessment of Power System Reliability

Publisher: Springer London

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Abstract

A Markov chain is a type of Markov process in which there are number of finite states that the process may exist at any given time. The probability of the process moving from one state to another is denoted by the transition probability and the probability of the process remaining in the same state is denoted by certain probability. Such modeling provides a clear representation of all the states of a system as well as the transition between these states. One disadvantage is that for large systems with many components, it is difficult to draw a diagram. This is because for a system of n components, each with a failed or operating state, the number of states that exist is equal to 2 n .

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previous chapter Binary Decision Diagram
next chapter Reliability Block Diagram
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Metadata
Title
Markov Processes
Author
Marko Čepin
Copyright Year
2011
Publisher
Springer London
Book
Assessment of Power System Reliability

Print ISBN: 978-0-85729-687-0

Electronic ISBN: 978-0-85729-688-7

Copyright Year: 2011

DOI
https://doi.org/10.1007/978-0-85729-688-7_8