financially supported by Scientific Research Fund of Hunan Provincial Education Department 16C0637;Dr Fund of Hunan University of Science and Technology under GrantNo.E51366;the National Natural Science Funds of China for Distinguished Young Scholar under Grant No. 50925727
机构署名：
本校为其他机构
院系归属：
外国语学院
摘要：
This paper proposes the method of analog circuit fault diagnosis based on high-order cumulants combined with Information Fusion. It is to extract the original voltage and current signals from output terminal of the circuit under test, to determine their kurtosis and skewness as fault eigenvectors, and to import them into improved BP neural network for fault diagnosis. As for construction of fault eigenvectors, high-order cumulants technique, compared to Principal Component Analysis (PCA) which is based on second order statistics, pays more attention to information neglected by PCA. After Infor...
