NDLI: Reduction of Stochastic Petri Nets for Reliability Analysis

Content Provider	IEEE Xplore Digital Library
Author	Wang Xiaoli Chen Guangju Zhao Qiang Guo Zhongping
Copyright Year	2007
Description	Author affiliation: China Acad. Eng. Phys., Sichuan (Wang Xiaoli)
Abstract	The model types used for reliability modeling are classified into two categories: combinatorial model types and state-space model types. Stochastic Petri nets (SPN), belonging to one of state-space types, can represent the dependencies, imperfect coverage, correlated failures, and repair dependencies that realistically occur in genuine life scenarios, but the combinatorial models such as reliability block diagrams, fault trees and reliability graphs can't. So, SPNs as a powerful modeling and analyzing tool have received considerably more attention in system reliability analysis.But the problem of state-space explosion of SPN is so serious that limits its ability to analyze complex and large-scale systems. In this paper, we bring forward a method of equivalent reduction to simplify SPN model before analyzing it. The method utilizes four structure-reduction rules: sequence, concurrence, choice and loop structures of elementary reliability model to simplify SPN model and overcome state-space explosion.
File Size	538408
File Format	PDF
ISBN	9781424411351
DOI	10.1109/ICEMI.2007.4350428
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Delay effects Instruments state-space explosion Petri nets Stochastic processes Reliability engineering Explosions Power system modeling stochastic petri nets reliability analysis Power system reliability Large-scale systems Performance analysis reduction
Content Type	Text
Resource Type	Article

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