中文说明：应用背景对机床主轴系统的振动信号进行批处理（execl文件），首先对各个接口的振动数据进行小波包滤波去噪，可进行N层分解。对去噪后的信号进行特征值提取，以便作为支持向量机以及神经网络的输入关键技术可对execl文件进行批处理，对信号进行三层分解，并对去噪后的数据进行特征值提取。
English Description：
Application backgroundThe vibration signal of machine tool spindle system is processed (EXECL file). The vibration data of each interface is filtered by wavelet packet filtering, which can be decomposed by N layer. Feature extraction of the signal after denoising, so as to support vector machine as well as the input of neural networkKey TechnologyEXECL file can be batch processing, the signal is decomposed into three layers, and the data were extracted after denoising.