Research on Wavelet Denoising Method Based on Soft Threshold in Wire Rope Damage Detection

Abstract

For traditional electromagnetic detection of steel wire rope damage, there are a lot of noise in the collected signals, and a wavelet denoising method based on soft threshold is proposed to apply to denoising. By comparing the signal-to-noise ratio obtained by using different wavelet bases to denoise the detection signal, it was found that db4 had the most ideal denoising effect on the detection signal. In the experiment, the detection signal of different broken wires was denoised. The experimental results show that the wavelet transform soft threshold denoising method is effective, which provides a guarantee for the subsequent feature value extraction and quantitative recognition accuracy.