DocumentCode
959445
Title
An algorithm for lower reliability bounds of multistate two-terminal networks
Author
Satitsatian, Sarintip ; Kapur, Kailash C.
Author_Institution
Dept. of Ind. Eng., Univ. of Washington, Seattle, WA, USA
Volume
55
Issue
2
fYear
2006
fDate
6/1/2006 12:00:00 AM
Firstpage
199
Lastpage
206
Abstract
Network reliability is extensively used to measure the degree of stability of the quality of infrastructure services. The performance of an infrastructure network and its components degrades over time in real situations. Multi-state reliability modeling that allows a finite number of different states for the performance of the network and its components is more appropriate for the reliability assessment, and provides a more realistic view of the network performance than the traditional binary reliability modeling. Due to the computational complexity of the enumerative methods in evaluating the multi-state reliability, the problem can be reduced to searching lower boundary points, and using them to evaluate reliability. Lower boundary points can be used to compute the exact reliability value and reliability bounds. We present an algorithm to search for lower boundary points. The proposed algorithm has considerable improvement in terms of computational efficiency by significantly reducing the number of iterations to obtain lower reliability bounds.
Keywords
computational complexity; iterative methods; reliability theory; search problems; binary reliability modeling; computational complexity; enumerative method; infrastructure service quality; iterations; multistate reliability modeling; multistate two-terminal networks; network reliability bounds; search algorithm; stability; Computational complexity; Computational efficiency; Computer networks; Degradation; Distributed computing; Industrial engineering; Materials reliability; Random variables; Stability; State-space methods; Lower boundary points; multistate reliability; network reliability;
fLanguage
English
Journal_Title
Reliability, IEEE Transactions on
Publisher
ieee
ISSN
0018-9529
Type
jour
DOI
10.1109/TR.2006.874922
Filename
1638404
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