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《Journal of Hunan University (Natural Science)》 2004-04
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Application of Wavelet and Neural Network in Analog Circuit Fault Location

XIE Hong~1,HE Yi-gang~1,ZHOU Ying-tang~2, WU Jie~1 (1.College of Electrical and Information Engineering, Hunan Univ, Changsha410082,China; 2. Hunan Provincial Branch of Agriculture Bank of China, Changsha410005,China)  
A fault location method based on wavelet and neural network for analog circuit is presented. The proposed method uses wavelet decomposition as the preprocessor of analog circuit fault signals. This can dramatically reduce the number of inputs of the neural network, simplify its structure, minimize its training and processing time ,and promote the capability to detect and identify faults. After briefly introducing the basic principle based on wavelet and neural network for fault location, the method of selecting the wavelet and fault feature was given.
【Fund】: 国家自然科学基金资助项目(50277010);; 湖南省杰出青年科学基金资助项目(03JJY1010);; 高校博士学科点专项基金(20020532016);; 湖南省科技计划项目(04FJ2003;03GKY3115)
【CateGory Index】: TN710
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