DocumentCode :
3344865
Title :
Fault location algorithm based on the qualitative and quantitative knowledge of signed directed graph
Author :
Zhang, Ji ; Cao, Wen-liang ; Wang, Bing-shu ; Cui, Ning
Author_Institution :
Dept. of Comput., North China Electr. Power Univ., Baoding
fYear :
2005
fDate :
14-17 Dec. 2005
Firstpage :
1231
Lastpage :
1234
Abstract :
In term of multivariate operating conditions, complex dynamic performance and steady qualitative logic relation between variables in power plant thermal process, signed directed graph (SDG) is first presented to apply in fault diagnosis of the power plant thermal system, this method has good completeness, and detailed explanation facility. First, the fault patterns can be primary diagnosed by using the qualitative model of SDG, then the patterns with the same qualitative characteristics can be changed to form a qualitative and quantitative model by using fuzzy knowledge, and then can be distinguished effectively by comparing the membership grade of the patterns need be diagnosed to the given fault patterns. The case studies show the qualitative and quantitative model has better resolution in fault diagnosis, even if the system having unmeasurable nodes
Keywords :
directed graphs; fault location; power generation faults; thermal power stations; fault location algorithm; fault patterns; fuzzy knowledge; power plant thermal process; power plant thermal system; qualitative knowledge; quantitative knowledge; signed directed graph; Algorithm design and analysis; Cause effect analysis; Control systems; Fault diagnosis; Fault location; Large-scale systems; Power generation; Power system modeling; Thermal engineering; Tree graphs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology, 2005. ICIT 2005. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-9484-4
Type :
conf
DOI :
10.1109/ICIT.2005.1600823
Filename :
1600823
Link To Document :
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