Discrete State Degradation Models

Mauricio Sánchez-Silva () and Georgia-Ann Klutke ()
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Mauricio Sánchez-Silva: Universidad de Los Andes
Georgia-Ann Klutke: Texas A&M University

Chapter Chapter 6 in Reliability and Life-Cycle Analysis of Deteriorating Systems, 2016, pp 151-185 from Springer

Abstract: Abstract This chapter presents and discusses models where the system state, as it degrades, takes values in a discrete state space. Furthermore, it is assumed that the change of the system state through time may occur at discrete or continuous points in time according to certain rules. These models assume that the system moves through a sequence of increasing damage states until failure or intervention. Under these assumptions, most models presented in this chapter are based on Markov processesMarkov process and in particular on Markov chains, which may be discrete or continuous in time.

Keywords: Markov Chain; Sojourn Time; Markov Property; Markov Chain Model; Transition Probability Matrix (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-319-20946-3_6

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DOI: 10.1007/978-3-319-20946-3_6

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