Finite difference solution to stochastic partial differential equations in reliability
Arpan Gupta and
Mangey Ram
International Journal of Industrial and Systems Engineering, 2018, vol. 28, issue 2, 166-177
Abstract:
The paper presents a numerical method to solve for the reliability measures of a Markovian system. The model is obtained from the field of reliability engineering for systems having constant failure and repair rates. Generally, the steady state behaviour of the system is studied due to some constraint on obtaining the transition state solution. The proposed method helps to govern the transition state probability values, by utilising a finite difference method in concurrence with the results of integral appearing in stochastic differential equation obtained using the supplementary variable technique. Results thus achieved are found to be effective for studying the transition state behaviour of the system.
Keywords: reliability modelling; stochastic process; finite difference method; transition state probabilities. (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=89135 (text/html)
Access to full text is restricted to subscribers.
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:ids:ijisen:v:28:y:2018:i:2:p:166-177
Access Statistics for this article
More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().