Title :
Detection and classification of weld defects in industrial radiography with use of advanced AI methods
Author :
Sikora, Ryszard ; Baniukiewicz, Piotr ; Chady, Tomasz ; Lopato, Przemyslaw ; Piekarczyk, Bogdan ; Psuj, Grzegorz ; Grzywacz, Bogdan ; Misztal, Leszek
Author_Institution :
West Pomeranian Univ. of Technol., Szczecin, Poland
Abstract :
The paper presents and shortly discusses the AI algorithms created for automated detection and classification of weld defects on the basis of radiography images. The three approaches are described: with use of fuzzy logic, with use of artificial neural networks and that basing on rough sets theory. The data evaluating the accuracies of obtained classifiers as well as chosen examples are attached.
Keywords :
artificial intelligence; automatic optical inspection; fuzzy logic; image classification; materials science computing; neural nets; radiography; rough set theory; welds; advanced AI method; artificial neural networks; automated detection; fuzzy logic; industrial radiography; rough sets theory; weld defect classification; weld defect detection; Accuracy; Artificial neural networks; Fuzzy logic; Shape; Testing; Training; Welding; automated identification of weld defects; digital radiography; fuzzy logic; neural networks; rough sets;
Conference_Titel :
Nondestructive Evaluation/Testing: New Technology & Application (FENDT), 2013 Far East Forum on
Conference_Location :
Jinan
Print_ISBN :
978-1-4673-6018-0
DOI :
10.1109/FENDT.2013.6635520
