DocumentCode :
3541028
Title :
Research on directed fault propagation graph model and optimization
Author :
Haibin, Yuan ; Jia, Li ; Qiusheng, Wang
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
fYear :
2009
fDate :
16-19 Aug. 2009
Abstract :
Modern equipment is large structure and complex function with redundant components within the system. As a result, the complexity is increased when fault diagnosis and analysis model is set up. In order to reduce diagnosis model complexity, a method of directed fault propagation model and optimization is proposed. Fault relationship among the components is analyzed based on the probability and influence of fault propagation, the multiple fault modes and fault propagation relationship is also studied. The directed fault propagation graph model is optimized according to the fault influence factor on the basis of quantitative assessment, and redundant component within fault diagnosis model is cut, so the model is simplified, the computational process is reduced and the efficiency for fault diagnosis and analysis is improved. A practical model shows the validation of the model and optimization method.
Keywords :
directed graphs; fault diagnosis; optimisation; probability; reliability theory; diagnosis model complexity; directed fault propagation graph model optimisation; fault diagnosis model; fault influence factor; fault propagation probability; fault relationship; quantitative assessment; Automation; Electric variables measurement; Employee welfare; Fault diagnosis; Fault location; Instruments; Large-scale systems; Optimization methods; directed propagation graph; fault analysis; fault diagnosis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
Type :
conf
DOI :
10.1109/ICEMI.2009.5274076
Filename :
5274076
Link To Document :
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