DocumentCode :
3436046
Title :
Multi-level reliability states analysis mothed in agent-based complex system reliability simulation
Author :
Jun-Hai Cao ; Xiao-Long Chen ; Ying Shen
Author_Institution :
Dept. of Tech. Support Eng., Acad. of Armored Force Eng., Beijing, China
fYear :
2013
fDate :
15-18 July 2013
Firstpage :
299
Lastpage :
302
Abstract :
Agent-based simulation technology is a trend for the future simulation application. This method is more simple and efficient than traditional simulation methods. Agent-based simulation technology with distinct modeling process can greatly reduce the difficulty of modeling and simulation computing, and is more applicable to solve the problems of reliability modeling and simulation for large complex system. Based on former research, Agent-based reliability simulation method and mechanism are analyzed, and a system reliability state-checking method based on signal network flow algorithm is proposed. This method can greatly reduce the difficulty of state-checking computing of system reliability simulation model, improve the flexibility of simulation algorithm, and support state analysis of reliability model in any scale and any form. This method provides a theory support to mission-oriented complex system reliability analysis and simulation.
Keywords :
digital simulation; multi-agent systems; software reliability; agent based complex system reliability simulation; agent based simulation technology; multilevel reliability states analysis mothed; signal network flow algorithm; system reliability state checking method; Adaptation models; Aggregates; Analytical models; Computational modeling; Mathematical model; Object oriented modeling; Reliability; adaptive Agent; agent-based simulation; reliability simulation; signal network flow algorithm; state check;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-1014-4
Type :
conf
DOI :
10.1109/QR2MSE.2013.6625588
Filename :
6625588
Link To Document :
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