Semi-Markov processes for reliability studies

Christiane Cocozza-Thivent; Michel Roussignol

ESAIM: Probability and Statistics (2010)

  • Volume: 1, page 207-223
  • ISSN: 1292-8100

Abstract

top
We study the evolution of a multi-component system which is modeled by a semi-Markov process. We give formulas for the avaibility and the reliability of the system. In the r-positive case, we prove that the quasi-stationary probability on the working states is the normalised left eigenvector of some computable matrix and that the asymptotic failure rate is equal to the absolute value of the convergence parameter r.

How to cite

top

Cocozza-Thivent, Christiane, and Roussignol, Michel. "Semi-Markov processes for reliability studies." ESAIM: Probability and Statistics 1 (2010): 207-223. <http://eudml.org/doc/197758>.

@article{Cocozza2010,
abstract = { We study the evolution of a multi-component system which is modeled by a semi-Markov process. We give formulas for the avaibility and the reliability of the system. In the r-positive case, we prove that the quasi-stationary probability on the working states is the normalised left eigenvector of some computable matrix and that the asymptotic failure rate is equal to the absolute value of the convergence parameter r. },
author = {Cocozza-Thivent, Christiane, Roussignol, Michel},
journal = {ESAIM: Probability and Statistics},
keywords = {Semi-Markov process / quasi-stationary distribution / reliability / r-recurrence.},
language = {eng},
month = {3},
pages = {207-223},
publisher = {EDP Sciences},
title = {Semi-Markov processes for reliability studies},
url = {http://eudml.org/doc/197758},
volume = {1},
year = {2010},
}

TY - JOUR
AU - Cocozza-Thivent, Christiane
AU - Roussignol, Michel
TI - Semi-Markov processes for reliability studies
JO - ESAIM: Probability and Statistics
DA - 2010/3//
PB - EDP Sciences
VL - 1
SP - 207
EP - 223
AB - We study the evolution of a multi-component system which is modeled by a semi-Markov process. We give formulas for the avaibility and the reliability of the system. In the r-positive case, we prove that the quasi-stationary probability on the working states is the normalised left eigenvector of some computable matrix and that the asymptotic failure rate is equal to the absolute value of the convergence parameter r.
LA - eng
KW - Semi-Markov process / quasi-stationary distribution / reliability / r-recurrence.
UR - http://eudml.org/doc/197758
ER -

NotesEmbed ?

top

You must be logged in to post comments.

To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.

Only the controls for the widget will be shown in your chosen language. Notes will be shown in their authored language.

Tells the widget how many notes to show per page. You can cycle through additional notes using the next and previous controls.

    
                

Note: Best practice suggests putting the JavaScript code just before the closing </body> tag.