| 2. | To conquer the problem of acquisition high effectiveness in analog circuit fault imformation , wavelet transform was researched in this paper to preprocess the fault signals . meanwhile , bp neural network diagnosis method based on wavelet transformation was proposed , this method can abstract fault feature effectively and decreases the dimension of imput vector . by this mean , the construct of neural network can be simplified and training time was economized , then the recognize ability of fault type was improved also
为解决模拟电路的故障信息高效获取难题,本文采用小波变换作为故障信号的预处理器,研究了基于小波变换预处理的bp网络故障诊断方法,该法能在有效提取故障特征的同时,降低输入信息的维数,从而进一步简化了神经网络的结构,减少了其训练时间,提高了辨识故障类别的能力。 |
