Dynamical Systems with Semi-Markovian Perturbations and Their Use in Structural Reliability
Julien Chiquet () and
Nikolaos Limnios ()
Additional contact information
Julien Chiquet: Université d’Évry Val-d’Essonne
Nikolaos Limnios: Université de Technologie de Compiègne
A chapter in Stochastic Reliability and Maintenance Modeling, 2013, pp 191-218 from Springer
Abstract:
Abstract The aim of this chapter is to present dynamical systems evolving in continuous-time and perturbed by semi-Markov processes (SMP). We investigate both probabilistic modeling and statistical estimation of such models. This work was initially developed in order to study cracking problems for the confinement device in nuclear power plants, where a jump Markov process was used as the perturbing process. The new key element here is the use of SMPs instead of Markov ones for the randomization of the system. Several numerical illustrations in reliability are investigated, accompanied with guidelines for a practical numerical implementation.
Keywords: Semi-Markov process; Markov renewal process; Degradation process; Dynamical system; Reliability; Fatigue crack propagation (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (1)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-1-4471-4971-2_10
Ordering information: This item can be ordered from
http://www.springer.com/9781447149712
DOI: 10.1007/978-1-4471-4971-2_10
Access Statistics for this chapter
More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().