Similarity assessment of acoustic emission signals and its application in source localization
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Guibin Wang | Wei Liu | Shiwan Chen | Chunhe Yang | Wei Liu | Shiwan Chen | Guibin Wang | Chunhe Yang
[1] David Galbally,et al. A pattern recognition approach based on DTW for automatic transient identification in nuclear power plants , 2015 .
[2] Mao Chen Ge,et al. Efficient mine microseismic monitoring , 2005 .
[3] Soo-Ho Chang,et al. Estimation of cracking and damage mechanisms in rock under triaxial compression by moment tensor analysis of acoustic emission , 2004 .
[4] Donald J. Berndt,et al. Using Dynamic Time Warping to Find Patterns in Time Series , 1994, KDD Workshop.
[5] D. Lockner. The role of acoustic emission in the study of rock fracture , 1993 .
[6] Jochen H Kurz,et al. Strategies for reliable automatic onset time picking of acoustic emissions and of ultrasound signals in concrete. , 2005, Ultrasonics.
[7] Nader Jafarnia Dabanloo,et al. Automatic classification of speech dysfluencies in continuous speech based on similarity measures and morphological image processing tools , 2016, Biomed. Signal Process. Control..
[8] Xinglin Lei,et al. Detailed analysis of acoustic emission activity during catastrophic fracture of faults in rock , 2004 .
[9] Mao Chen Ge. Analysis of Source Location Algorithms Part I: Overview and Non-Iterative Methods , 2003 .
[10] Peng Ma,et al. Acoustic emission monitoring of rockbursts during TBM-excavated headrace tunneling at Jinping II hydropower station , 2013 .
[11] Masayasu Ohtsu,et al. Simplified moment tensor analysis and unified decomposition of acoustic emission source: Application to in situ hydrofracturing test , 1991 .
[12] Aslak Grinsted,et al. Nonlinear Processes in Geophysics Application of the Cross Wavelet Transform and Wavelet Coherence to Geophysical Time Series , 2022 .
[13] Tomasz Górecki,et al. Non-isometric transforms in time series classification using DTW , 2014, Knowl. Based Syst..
[14] Tribikram Kundu,et al. Acoustic source localization. , 2014, Ultrasonics.
[15] Christian U. Grosse,et al. Evaluation of mode I failure of concrete in a splitting test using acoustic emission technique , 2003 .
[16] C. Narasimham,et al. RETRACTED: Classification of Time Series Data by One Class Classifier Using DTW-D , 2015 .
[17] Witold Pedrycz,et al. Fuzzy clustering of time series data using dynamic time warping distance , 2015, Eng. Appl. Artif. Intell..
[18] P. K. Kaiser,et al. Interpretation of physical status of arrival picks for microseismic source location , 1990, Bulletin of the Seismological Society of America.
[19] Minping Qian,et al. A DTW-based probability model for speaker feature analysis and data mining , 2002, Pattern Recognit. Lett..
[20] Herbert H. Einstein,et al. Detection of Cracking Levels in Brittle Rocks by Parametric Analysis of the Acoustic Emission Signals , 2016, Rock Mechanics and Rock Engineering.
[21] H. R. Hardy,et al. A Statistical Method for Evaluation of AE/MS Source Location Accuracy and Transducer Array Geometry , 1989 .
[22] Manuele Bicego,et al. The DTW-based representation space for seismic pattern classification , 2015, Comput. Geosci..
[23] S. Stanchits,et al. Source analysis of acoustic emissions in Aue granite cores under symmetric and asymmetric compressive loads , 1998 .
[24] Jochen H Kurz,et al. New approaches for automatic threedimensional source localization of acoustic emissions--Applications to concrete specimens. , 2015, Ultrasonics.
[25] Shi-da Xu,et al. Experimental studies on pillar failure characteristics based on acoustic emission location technique , 2012 .
[26] Masayasu Ohtsu,et al. Crack classification in concrete based on acoustic emission , 2010 .
[27] L. Linzer,et al. Application of a moment tensor inversion code developed for mining-induced seismicity to fracture monitoring of civil engineering materials , 2015 .
[28] János Abonyi,et al. Correlation based dynamic time warping of multivariate time series , 2012, Expert Syst. Appl..
[29] Fabio Matta,et al. Acoustic emission monitoring for assessment of prestressed concrete beams , 2014 .
[30] Ai Ting,et al. Space–time evolution rules of acoustic emission location of unloaded coal sample at different loading rates , 2012 .
[31] N. Maeda. A Method for Reading and Checking Phase Time in Auto-Processing System of Seismic Wave Data , 1985 .
[32] GE MAOCHEN,et al. ANALYSIS OF SOURCE LOCATION ALGORITHMS Part II: Iterative methods , 2022 .
[33] Joseph F Labuz,et al. Moment tensors of acoustic emissions in shear faulting under plane-strain compression , 2002 .
[34] Milad Nazarahari,et al. A multi-wavelet optimization approach using similarity measures for electrocardiogram signal classification , 2015, Biomed. Signal Process. Control..
[35] Christian U. Grosse,et al. Quantitative zerstörungsfreie Prüfung von Baustoffen mittels Schallemissionsanalyse und Ultraschall , 1996 .
[36] P. K. Kaiser,et al. Quantification of rock mass damage in underground excavations from microseismic event monitoring , 2001 .
[37] C. Torrence,et al. A Practical Guide to Wavelet Analysis. , 1998 .
[38] S. Jevrejeva,et al. Influence of the Arctic Oscillation and El Niño‐Southern Oscillation (ENSO) on ice conditions in the Baltic Sea: The wavelet approach , 2003 .
[39] Shi Xu,et al. Speech Recognition Based on Efficient DTW Algorithm and Its DSP Implementation , 2012 .
[40] D. Lockner,et al. Quasi-static fault growth and shear fracture energy in granite , 1991, Nature.