Stochastic Processes, Markov Chains and Systems Availability

  • A. Saiz de Bustamante
Conference paper
Part of the ISPRA Courses book series (ISPA, volume 6)

Abstract

The principles of random processes are applied to the Poisson process, as the simplest case of a Markov chain. Later on the theory of Markov modelling is reviewed. Availability of systems is presented as result of system behaviour as a finite stationary Markov chain. It is assumed that systems satisfy the Markov and homogeniety property.

Keywords

Markov Chain Transition Rate Poisson Process Transition Matrix Arrival Tine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© ECSC, EEC, EAEC, Brussels and Luxembourg 1990

Authors and Affiliations

  • A. Saiz de Bustamante
    • 1
  1. 1.Universidad Politécnica de MadridMadridSpain

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