一种基于小波分解的储罐声发射源定位波形滤波算法研究

Research on Algorithm of Filtering of Acoustic Emission Source Positioning Waveform Based on Wavelet Decomposition

小波分解是以小波基为基础,对信号进行多层分解的一种数学方法。近年来,小波分解逐步应用于声发射源定位计算中,根据小波分解后信号时域不变的特性,可以对声发射源的位置进行计算。目前,小波分解定位精度的主要影响因素是声发射信号中的噪声信号。因此,在小波分解前对声发射信号进行降噪,对提高信号小波分解源定位的精度有重要意义。引入了一种基于阈值的降噪方法,结合小波分解,尝试研究了声发射信号降噪算法对定位精度的影响。

Wavelet decomposition is a mathematical method based on wavelet basis for multi-layer decomposition of signals. In recent years, wavelet decomposition is gradually used in the acoustic emission source localization calculation. The position of the acoustic emission source can be calculated according to the invariance of the signal in time and domain after wavelet decomposition. At present, the main influencing factor of wavelet decomposition positioning accuracy is the noise signal in the acoustic emission signal. Therefore, noise reduction for acoustic emission signals before wavelet decomposition is of great significance for improving the accuracy of signal wavelet decomposition source localization. A threshold-based noise reduction method was introduced. Combined with wavelet decomposition, the effect of acoustic emission signal noise reduction algorithm on positioning accuracy was studied.