Estimated accuracy of classification of defects detected in welded joints by radiographic tests-Reference-Cited by-同舟云学术

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Estimated accuracy of classification of defects detected in welded joints by radiographic tests

Published:2005-07 Issue:5 Volume:38 Page:335-343
ISSN:0963-8695
Container-title:NDT & E International
language:en
Short-container-title:NDT & E International

Author:

da Silva Romeu R.,Siqueira Marcio H.S.,de Souza Marcos Paulo Vieira,Rebello João M.A.,Calôba Luiz P.

Publisher

Elsevier BV

Subject

Mechanical Engineering,Condensed Matter Physics,General Materials Science

Reference22 articles.

1. Aoki K, Suga Y. Application of artificial neural network to discrimination of defect type automatic radiographic testing of welds. In: ISI International 1999; 39(10): 1081–7.

2. Development of an automatic weld defect identification system for radiographic testing;Kato;Weld Word,1992

3. An automated radiographic NDT system for weld inspection: part I—weld extraction;Liao;NDT&E Int,1996

4. An automated radiographic ndt system for weld inspection: part II—flaw detection;Liao;NDT&E Int,1998

5. Detection of welding flaws from radiographic images with fuzzy clustering methods;Liao;Fuzzy Sets Syst,1999

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