Similarity assessment of acoustic emission signals and its application in source localization
Chen, Shiwan1; Yang, Chunhe2; Wang, Guibin2; Liu, Wei1
刊名ULTRASONICS
2017
卷号75页码:36-45
关键词Dynamic time warping Thermal-cracking in granite Wavelet coherence Source re-localization
ISSN号0041-624X
DOI10.1016/j.ultras.2016.11.005
英文摘要In conventional AE source localization acoustic emission (AE) signals are applied directly to localize the source without any waveform identification or quality evaluation, which always leads to large errors in source localization. To improve the reliability and accuracy of acoustic emission source localization, an identification procedure is developed to assess the similarity of AE signals to select signals with high quality to localize the AE source. Magnitude square coherence (MSC), wavelet coherence and dynamic timing warping (DTW) are successively applied for similarity assessment. Results show that cluster analysis based on DTW distance is effective to select AE signals with high similarity. Similarity assessment results of the proposed method are almost completely Consistent with manual identification. A novel AE source localization procedure is developed combining the selected AE signals with high quality and a direct source localization algorithm. AE data from thermal-cracking tests in Beishan granite are analyzed to demonstrate the effectiveness of the proposed AE localization procedure. AE events are re localized by the proposed AE localization procedure. And the accuracy of events localization has been improved significantly. The reliability and credibility of AE source localization will be improved by the proposed method. (C) 2016 Elsevier B.V. All rights reserved,
WOS研究方向Acoustics ; Radiology, Nuclear Medicine & Medical Imaging
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000392771700005
内容类型期刊论文
源URL[http://119.78.100.198/handle/2S6PX9GI/4020]  
专题岩土力学所知识全产出_期刊论文
国家重点实验室知识产出_期刊论文
作者单位1.Chongqing Univ, State Key Lab Coal Mine Disaster Dynam & Control ;
2.Chinese Acad Sci, Inst Rock & Soil Mech
推荐引用方式
GB/T 7714
Chen, Shiwan,Yang, Chunhe,Wang, Guibin,et al. Similarity assessment of acoustic emission signals and its application in source localization[J]. ULTRASONICS,2017,75:36-45.
APA Chen, Shiwan,Yang, Chunhe,Wang, Guibin,&Liu, Wei.(2017).Similarity assessment of acoustic emission signals and its application in source localization.ULTRASONICS,75,36-45.
MLA Chen, Shiwan,et al."Similarity assessment of acoustic emission signals and its application in source localization".ULTRASONICS 75(2017):36-45.
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