Detection of the propagation of defects in pressurised pipes by means of the acoustic emission technique using artificial neural networks
Document Type: Research Article
Affiliations: 1: José Dos Reis St. 299 Casa 4, Engenho de Dentro, Rio de Janeiro, CEP 20770-050, Brazil. 2: Technology of Materials, Equipments and Corrosion, PETROBRAS Research Center - CENPES, Brazil. 3: Department of Electrical Engineering, Federal University of Rio de Janeiro (UFRJ). PO Box 68504 CEP 21945-970 Rio de Janeiro, RJ Brazil. 4: Rua do Amaral, 9/101 Andarí, CEP 20510-080, Rio de Janeiro, Brazil. 5: Department of Metallurgical and Materials Engineering, Federal University of Rio de Janeiro (UFRJ), PO Box 68505, CEP 21945-970 Rio de Janeiro, RJ, Brazil.
Publication date: January 1, 2006
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