EconPapers    
Economics at your fingertips  
 

Reliability evaluation of multi-state series systems with performance sharing

Guanjun Wang, Fengjun Duan and Yifan Zhou

Reliability Engineering and System Safety, 2018, vol. 173, issue C, 58-63

Abstract: In this paper, a new reliability model for a multi-state system (MSS) with performance sharing is proposed. The MSS consists of N multi-state units connected in series. Each unit in the system has a random performance level and a random demand. If the performance of a unit exceeds its demand, the surplus performance can be transmitted to its adjacent units through intermediate transmitters. Each transmitter has a random capacity, through which only a limited amount of performance can be transmitted. The entire system fails if the demand of any unit is not satisfied. An algorithm based on the universal generating function (UGF) is developed to evaluate the reliability of the system. Analytical and numerical examples are provided to validate the proposed method. Examples show that the developed algorithm is efficient in system reliability evaluation.

Keywords: Stochastic process; Stationary distribution; Universal generating function; Probability mass function; Performance level; Transmission capacity (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832017305069
Full text for ScienceDirect subscribers only

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:eee:reensy:v:173:y:2018:i:c:p:58-63

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().

 
Page updated 2018-05-05
Handle: RePEc:eee:reensy:v:173:y:2018:i:c:p:58-63