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《Power System Technology》 2004-01
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A SUBSTATION FAULT DIAGNOSIS SYSTEM BASED ON CASE-BASED REASONING AND RULE-BASED REASONING

DU yi, ZHANG Pei-chao, YU Wei-yong (Dept. of Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, China)  
Fault diagnosis is an important way to ensure the secure operation of power system. Currently the case-based reasoning expert systems are mostly adopted, but their knowledge acquiring and self-learning ability is weak. It is difficult for them to meet the need of power system development. A substation fault diagnosis system based on case-based reasoning (CBR) and rule-based reasoning (RBR) is proposed. It diagnoses the fault using CBR and analyzes the operations of protectors and breakers using RBR. The case database is composed of two parts: some are automatically created by RBR and the others are special cases that the system gradually adds to improve the ability to judge complex faults. Based on mixed reasoning, the system can diagnose the fault accurately and self-learning is greatly improved, therefore, the burden of operators can be relieved.
【CateGory Index】： TM769
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