DocumentCode :
2464312
Title :
A Universal Generating Function Approach for Reliability Analysis of Multi-state Systems
Author :
Yueqin, Wu ; Yun, Fu ; Qihua, Wang
Author_Institution :
China Aero-Polytechnology Establ. Organ., Beijing, China
Volume :
3
fYear :
2010
fDate :
16-17 Dec. 2010
Firstpage :
207
Lastpage :
210
Abstract :
Reliability is one of the most critical performance measures of today´s complex systems, such as communication systems and aircraft systems. The complex systems typically have multiple partial failure states in addition to the completely working and totally failed states. Reliability analysis considering multiple possible states is known as multi-state reliability analysis. Multi-state reliability has been emphasized more and more by academia and industry. However, efficient methods were not available for some types of multi-state systems such as multi-state k-out-of-n G systems. In this paper, a new algorithm based on the universal generating function method is developed for determining the reliability of multi-state consecutive k-out-of-n G system. Example is provided to illustrate the proposed approach.
Keywords :
failure analysis; large-scale systems; reliability theory; complex systems; multiple partial failure states; multistate systems; reliability analysis; universal generating function approach; Algorithm design and analysis; Performance evaluation; Random variables; Reliability engineering; Safety; multi-state consecutive k-out-of-n G system; reliability; universal generating function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9247-3
Type :
conf
DOI :
10.1109/GCIS.2010.309
Filename :
5709357
Link To Document :
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