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《JOURNAL OF NORTH CHINA ELECTRIC POWER UNIVERSITY》 1994-02
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INTEGRATING ARTIFICIAL NEURAL NETWORK WITH EXPERT SYSTEM FOR FAULT DIAGNOSIS IN POWER SYSTEM

Gu Xueping; Zhang Wcnqin; Gao Shu; Yang Yihan; Sheng Siqing  
This paper studies the integlation of artificial neulal network (ANN) and e-cper system(ES)for fault diagnosis in power system. A new approach for fault diagnosis is proposed in thispaper. This method integrates advantages of ANN and ES, in which the ES is rmployed inseal.ching the genelal database of power system and plesenting fault hypothese, and the ANNis employed in verifying the fault hypothses. The training of the ANN is based on genelalknowledges of fault diagnosis, therefore,the ANN is general. The simulating test proves thatthis method can effectively distinguish fault elements and is very robust.
【Fund】: 国家自然科学基金 国家教委博士点科研基金
【CateGory Index】: TM711
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