Reliability Analysis of 6-Component Star Markov Repairable System with Spatial Dependence
Joint Authors
Wang, Liying
Yang, Qing
Tian, Yuran
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-05
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Star repairable systems with spatial dependence consist of a center component and several peripheral components.
The peripheral components are arranged around the center component, and the performance of each component depends on its spatial “neighbors.” Vector-Markov process is adapted to describe the performance of the system.
The state space and transition rate matrix corresponding to the 6-component star Markov repairable system with spatial dependence are presented via probability analysis method.
Several reliability indices, such as the availability, the probabilities of visiting the safety, the degradation, the alert, and the failed state sets, are obtained by Laplace transform method and a numerical example is provided to illustrate the results.
American Psychological Association (APA)
Wang, Liying& Yang, Qing& Tian, Yuran. 2017. Reliability Analysis of 6-Component Star Markov Repairable System with Spatial Dependence. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1192785
Modern Language Association (MLA)
Wang, Liying…[et al.]. Reliability Analysis of 6-Component Star Markov Repairable System with Spatial Dependence. Mathematical Problems in Engineering No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1192785
American Medical Association (AMA)
Wang, Liying& Yang, Qing& Tian, Yuran. Reliability Analysis of 6-Component Star Markov Repairable System with Spatial Dependence. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1192785
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1192785