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

✍ Scribed by A.A. Carvalho; J.M.A. Rebello; L.V.S. Sagrilo; C.S. Camerini; I.V.J. Miranda

• Book ID: 108218601
• Publisher: Elsevier Science
• Year: 2006
• Tongue: English
• Weight: 295 KB
• Volume: 39
• Category: Article
• ISSN: 0963-8695
• DOI: 10.1016/j.ndteint.2006.04.003