基于改进小波阈值算法的矿用钢丝绳损伤检测信号去噪方法

De-noising Method of Mine Wire Rope Damage Signal Based on Improved Wavelet Threshold Algorithm

在矿用钢丝绳损伤检测中,信号去噪对损伤检测信号特征提取与定量识别的准确性有着直接的影响。针对小波阈值算法在钢丝绳损伤检测信号去噪中的应用,在Donoho的软、硬阈值去噪方法的基础上,提出一种改进的小波阈值算法,该算法解决了硬阈值去噪效果不佳与软阈值过度光滑导致信号失真的难题,完整地保留了钢丝绳检测信号中的小奇异信号,去噪效果明显优于传统的阈值去噪方法。

In detection of mine wire rope damage, de-noising has a direct impact on the accuracy of signal feature extraction and quantitative identification. Based on Donoho soft and hard threshold de- noising method, we propose an improved wavelet threshold algorithm applying to de-noising of wire rope damage signal. The algorithm resolve the problem of poor de-noising effect on hard threshold algorithm and signal distortion on soft threshold wire rope signal. Also de-noising effect obvious is algorithm, completely retain small singular signal in better than traditional de-noising method.