Detecting and identifying artificial acoustic emission signals in an industrial fatigue environment

Measurement Science and Technology

Volumn 20, Issue 4, 2009, Pages

  Hensman, J ^a   Pullin, R ^b   Eaton, M ^b   Worden, K ^a   Holford, K M ^b   Evans, S L ^b  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

^b CARDIFF UNIVERSITY   (United Kingdom)

Author keywords

Acoustic emission; Clustering algorithms; Crack detection

Indexed keywords

ACOUSTIC EMISSIONS; CLUSTERING ALGORITHMS; CRACK DETECTION; CRACKS; FRACTURE; INDUSTRIAL EMISSIONS; LANDING GEAR (AIRCRAFT); SIGNAL PROCESSING;

ARTIFICIAL ACOUSTIC EMISSION; ARTIFICIAL SOURCES; FRACTURE PROCESS; FULL-SCALE EXPERIMENT; INDUSTRIAL ENVIRONMENTS; MONITORING SYSTEM; SIGNAL PROCESSING TECHNIQUE; WAVEFORM FEATURES;

ACOUSTIC EMISSION TESTING;

EID: 63749109636     PISSN: 09570233     EISSN: 13616501     Source Type: Journal    
DOI: 10.1088/0957-0233/20/4/045101     Document Type: Article

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