改进的小波神经网络模型在电力故障信号识别中的应用

Application of an improved wavelet neural network structure to power fault signal recognition

研究了小波神经网络用于信号分类识别的模型结构 ,建立了非显式小波网络的学习算法 ,给出了一种改进的小波神经网络模型 ,并把该模型应用于电力系统故障信号识别 ,提高了信号分类识别的精度 .

In this paper, the model and structure of Wavelet Neural Network (WNN) for signal recognition and classification are discussed, then a learning algorithm of hidden function wavelet neural network is obtained to improve the network structure.The improved model is applied to power fault signal recognition and classification, and can improve the precision and sensitivity.