Abstract：Based on multiscale wavelet analysis and fast Fourier transform,metal magnetic memory signals were processed for welding cracks.A criterion feature to identify the existence of welding cracks was found out.Corresponding threshold value of the feature was established.Field inspection indicated that welding cracks could be accurately identified with the criterion feature.
严春妍, 李午申, 邸新杰, 薛振奎, 白世武, 刘方明. 基于小波分析的焊接裂纹金属磁记忆信号特征提取[J]. 材料工程, 2008, 0(1): 34-37.
YAN Chun-yan, LI Wu-shen, DI Xin-jie, XUE Zhen-kui, BAI Shi-wu, LIU Fang-ming. Feature Extraction of Metal Magnetic Memory Signals for Welding Cracks Based on Wavelet Analysis. Journal of Materials Engineering, 2008, 0(1): 34-37.
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