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IDENTIFICATION OF FAILURE MODES IN COMPOSITES FROM CLUSTERED ACOUSTIC EMISSION DATA USING PATTERN RECOGNITION AND WAVELET TRANSFORMATION

机译：利用模式识别和小波变换识别团簇声发射数据中复合物的失效模式

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V. Arumugam; C. Suresh Kumar; C. Santulli; F. Sarasini; A. Joseph Stanley;
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年度 2015
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2. Identification of Failure Modes in Composites from Clustered Acoustic Emission Data Using Pattern Recognition and Wavelet Transformation [J] . V. Arumugam, C. Suresh Kumar, C. Santulli, Arabian Journal for Science and Engineering . 2013 ,第5期

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3. Damage Categorization of Glass/Epoxy Composite Material Under Mode II Delamination Using Acoustic Emission Data: A Clustering Approach to Elucidate Wavelet Transformation Analysis [J] . J. Yousefi, M. Ahmadi, M. Nazmdar Shahri, Arabian Journal for Science and Engineering . 2014 ,第2期

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4. Optimization of acoustic emission parameters to discriminate failure modes in glass-epoxy composite laminates using pattern recognition [J] . Chelliah Suresh Kumar, Parameswaran Pabitha, Ramasamy Sengottuvelusamy, Structural health monitoring . 2019 ,第4期

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5. IDENTIFICATION OF DAMAGE MODES IN CERAMIC MATRIX COMPOSITES BY ACOUSTIC EMISSION SIGNAL PATTERN RECOGNITION [C] . N. Godin, M. RMili, P. Reynaud, International Conference on Advanced Ceramics and Composites;ICACC . 2011

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6. Modeling of acoustic emission failure mechanism data from a unidirectional fiberglass/epoxy tensile test specimen [D] . Lendzioszek, Daniel R. 2002

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7. The Recognition of the Micro-Events in Cement Composites and the Identification of the Destruction Process Using Acoustic Emission and Sound Spectrum [O] . Dominik Logoń, Krzysztof Schabowicz 2020

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8. Identification of Failure Modes in Composites from Clustered Acoustic Emission Data Using Pattern Recognition and Wavelet Transformation [O] . V. Arumugam, C. Suresh Kumar, C. Santulli, 2013

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9. Pattern Recognition Analysis of Acoustic Emission from Unidirectional Carbon Fiber-Epoxy Composites by Using Autoregressive Modeling [R] . Ohtsu, M., Ono, K. 1987

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IDENTIFICATION OF FAILURE MODES IN COMPOSITES FROM CLUSTERED ACOUSTIC EMISSION DATA USING PATTERN RECOGNITION AND WAVELET TRANSFORMATION

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