DocumentCode :
127067
Title :
Structure-based system fault behavior modeling method
Author :
Guangyan Zhao ; Yufeng Sun ; Weiwei Hu
Author_Institution :
Beihang Univ., Beijing, China
fYear :
2014
fDate :
27-30 Jan. 2014
Firstpage :
1
Lastpage :
7
Abstract :
With increases in system complexity, new characteristics emerge continuously, and public attention is gradually attracted to mechanisms of system faults. Study of fault behavior and fault propagation modes is oriented at further depicting mechanism of fault of complicated system and clarifying the evolution of system fault behavior by reasoning based on propagation models, thus laying the foundation for technologies e.g. system diagnosis and prediction. In the paper, a structure-based system fault behavior modeling method is studied against influence of design of system structure. A structure-based system fault behavior model, entity, is built. Moreover, fault behavior models of basic unit and fault behavior propagation are given in detail, and detailed rules for behavior and fault propagation are given to illustration the procedure of fault propagation in system. We propose SEMOPN (With Select Mechanism Entity Oriented Petri Net) model to describe entities with Petri Net´s thought simulation and the procedure of fault propagation is simulated. Reliability is modeled from a brand-new angle. The model can describe laws by which system faults occur and are expressed, effectively providing technical support for system diagnosis and fault monitoring.
Keywords :
Petri nets; condition monitoring; failure analysis; fault diagnosis; reliability; SEMOPN model; fault monitoring; fault propagation; reliability; select mechanism entity oriented Petri net model; structure-based system fault behavior modeling method; system complexity; Adaptation models; Aggregates; Analytical models; Circuit faults; Cognition; Impedance matching; Load modeling; fault behavior; fault propagation; model; structure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability and Maintainability Symposium (RAMS), 2014 Annual
Conference_Location :
Colorado Springs, CO
Print_ISBN :
978-1-4799-2847-7
Type :
conf
DOI :
10.1109/RAMS.2014.6798481
Filename :
6798481
Link To Document :
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