A machine learning approach for locating acoustic emission

Eurasip Journal on Advances in Signal Processing

Volumn 2010, Issue , 2010, Pages

  Ince, N F ^a   Kao, Chu Shu ^b   Kaveh, M ^a   Tewfik, A ^a   Labuz, J F ^b  

^a University of Minnesota   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOREGRESSIVE PARAMETERS; CRACK INCEPTION; EVENT CORRELATION; EXPERIMENTAL DATA; FEATURE EXTRACTION METHODS; FREE SURFACES; HIER-ARCHICAL CLUSTERING; MACHINE-LEARNING; NOISY ENVIRONMENT; NON DESTRUCTIVE; P-WAVE ARRIVAL; P-WAVES; PROBABILISTIC OUTPUT; ROCK SPECIMEN; SENSOR MEASUREMENTS; SURFACE INSTABILITY; SVM CLASSIFIERS; TIME AND FREQUENCY DOMAINS; TIME OF ARRIVAL; TUNNEL WALL; WAVE FORMS; WAVELET PACKET;

ACOUSTIC EMISSION TESTING; ACOUSTIC NOISE; DISCRETE FOURIER TRANSFORMS; FEATURE EXTRACTION; MICROCRACKS; SEISMIC WAVES; SIGNAL TO NOISE RATIO; STRUCTURAL HEALTH MONITORING; WAVELET TRANSFORMS;

ACOUSTIC EMISSIONS;

EID: 79952164234     PISSN: 16876172     EISSN: 16876180     Source Type: Journal    
DOI: 10.1155/2010/895486     Document Type: Article

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