Denoising of Vibration Signal of CNC Machine Tool Spindle based on Improved Wavelet Threshold
DOI:
https://doi.org/10.6919/ICJE.202409_10(9).0004Keywords:
CNC Machine Tools; Vibration Signal; Wavelet Denoising; Threshold Function; Signal-to-Noise Ratio.Abstract
Aiming at the problem that the vibration signal of CNC machine tool spindle is often accompanied by noise, this paper proposes an improved wavelet threshold. This method introduces adjustment parameters and exponential functions. The new threshold function optimizes the defects of discontinuity of hard threshold function and constant deviation of soft threshold function, and realizes the filtering of noise and the retention of original signal information. Experimental results show that compared with the hard threshold method, the signal-to-noise ratio of vibration signals in three directions is improved by 4.7082dB, 6.0584dB and 8.1177dB respectively, and the root mean square error is reduced by 0.6684, 1.094 and 1.3093 respectively, which verifies the accuracy and reliability of this method in vibration signal processing.
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