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首页> 外文期刊>Journal of testing and evaluation >Characteristic Analysis of Welding Crack Acoustic Emission Signals Using Synchrosqueezed Wavelet Transform
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Characteristic Analysis of Welding Crack Acoustic Emission Signals Using Synchrosqueezed Wavelet Transform

机译：同步压缩小波变换对焊接裂纹声发射信号的特性分析

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摘要

The synchrosqueezed wavelet transform (SST) is introduced to conduct analysis and processing of the acoustic emission (AE) signal in the welding process. The energy distribution of the signal in the time-scale plane is compressed and reorganized by SST, which obtains the time-frequency diagram of the AE signal. Meanwhile, the correlation coefficient is introduced as the criterion for removing the undesirable frequency components, which can effectively eliminate the noise and retain the characteristics of the welding crack AE signal. The test experiment of the AE signals in the welding process is designed. The time-frequency distribution characteristics of the AE signals in the welding process are described and extracted by SST, which is characterized by high aggregation and prominent instantaneous frequency information. Experimental results are provided to confirm the effectiveness of this approach to extract the AE signal physical information related to the welding crack.
机译：引入了同步压缩小波变换（SST）来进行焊接过程中声发射（AE）信号的分析和处理。通过SST对信号在时标平面上的能量分布进行压缩和重组，得到了AE信号的时频图。同时，引入相关系数作为去除不良频率分量的判据，可以有效消除噪声，保持焊接裂纹AE信号的特性。设计了焊接过程中声发射信号的测试实验。利用SST描述并提取了焊接过程中AE信号的时频分布特征，该特征具有较高的聚集度和突出的瞬时频率信息。提供的实验结果证实了该方法提取与焊接裂纹有关的AE信号物理信息的有效性。

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