MFL signals and artificial neural networks applied to detection and classification of pipe weld defects

NDT and E International

Volumn 39, Issue 8, 2006, Pages 661-667

  Carvalho, A A ^a   Rebello, J M A ^a   Sagrilo, L V S ^a   Camerini, C S ^b   Miranda, I V J ^c  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^b PETROBRAS   (Brazil)

^c Pipe Way Engineering ^*  (Brazil)

Author keywords

MFL; Neural network; Non destructive inspection; Pattern recognition; Pig

Indexed keywords

MAGNETIC FLUX; NEURAL NETWORKS; NONDESTRUCTIVE EXAMINATION; PATTERN RECOGNITION; WAVELET TRANSFORMS; WELDS;

MFL; NON-DESTRUCTIVE INSPECTION; PIG; SAVITZKY-GOLAY FILTER;

DEFECTS;

EID: 33748639078     PISSN: 09638695     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ndteint.2006.04.003     Document Type: Article

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