Abstract This paper presents a novel diagnosis method combining element-oriented artificial neural networks and fuzzy integral fusion. The proposed method models the transmission line, bus and transformer using element-oriented ANNs. When a fault occurs, a primary diagnosis is made by element-oriented ANNs, and then the synthetic diagnosis fuses the primary diagnosis results employing fuzzy integral. The proposed method overcomes the Achilles heel of ANNs at getting training patterns and handling topology changes. And the simulation shows that by the use of synthetic diagnosis, the accuracy of diagnosis system is effectively improved. This method is promising for application in large scale real-time fault diagnosis.
Guo Chuangxin,You Jiaxun,Peng Mingwei等. A Fault Intelligent Diagnosis Approach Based on Element-Oriented Artificial Neural Networks and Fuzzy Integral Fusion[J]. Transactions of China Electrotechnical Society, 2010, 25(9): 183-190.