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Acoustic emission wave classification for rail crack monitoring based on synchrosqueezed wavelet transform and multi-branch convolutional neural network
Structural Health Monitoring ( IF 6.6 ) Pub Date : 2020-06-01 , DOI: 10.1177/1475921720922797 Dan Li 1 , Yang Wang 1 , Wang-Ji Yan 2 , Wei-Xin Ren 3
Structural Health Monitoring ( IF 6.6 ) Pub Date : 2020-06-01 , DOI: 10.1177/1475921720922797 Dan Li 1 , Yang Wang 1 , Wang-Ji Yan 2 , Wei-Xin Ren 3
Affiliation
This study focuses on the acoustic emission wave classification for the sake of more accurate and comprehensive rail crack monitoring in the field typically with complex cracking conditions, high-o...
中文翻译：
基于同步压缩小波变换和多分支卷积神经网络的轨道裂纹监测声发射波分类
本研究侧重于声发射波分类，以便在通常具有复杂开裂条件、高O...
更新日期：2020-06-01
中文翻译：
基于同步压缩小波变换和多分支卷积神经网络的轨道裂纹监测声发射波分类
本研究侧重于声发射波分类，以便在通常具有复杂开裂条件、高O...
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