基于db10四层分解的齿轮的故障特征提取-Decomposition based on the four-db10 gear fault feature extraction

在matlab中对大量的轴承故障的特征信号进行小波包分解，提取特征值，并建立神经网络训练，最终可由网络进行故障的分析-In matlab large number of bearing fault characteristic signal wavelet packet decomposition, extract characteristic values, and the establishment of neural network training, and ultimately by

信号处理，轴承故障，matlab，EMD，EEMD，故障，经验模态分解-Signal processing，Bearing fault，emd，eemd