Signal processing of time domain load signals of CNC lathe based on improved Neighbor Block

Abstract

In order to achieve the time domain load signals of CNC lathe during the cutting process, a new signal processing method based on improved Neighbor Block was proposed according to the character of noise in this paper. First, statistical variance smoothing method was utilized to remove the singular points. Then, denoising method of Neighbor Block was chosen. Finally, feasibility of wavelet basis was tested by analyzing the variation rule of dimensions, so the choice of the wavelet basis can be estimated correctly. Meanwhile, simulated signals test of the Doppler and time domain load signal of CNC lathe under one typical condition was analyzed to illustrate the validity of this method. The experimental results show that this method can avoid the Gibbs phenomena effectively and solve the difficulty in choosing the wavelet basis.