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Lookup NU author(s): Ying Yin,
Professor Gui Yun TianORCiD
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Radiography inspection (X-ray or gamma ray) is one of the most commonly used Non-destructive Evaluation (NDE) methods. More and more digital X-ray imaging is used for medical diagnosis, security screening, or industrial inspection, which is important for e-manufacturing. In this paper, we firstly introduced an automatic welding defect inspection system for X-ray image evaluation, defect image database and applications of Artificial Neural Networks (ANNs) for NDE. Then, feature extraction and selection methods are used for defect representation. Seven categories of geometric features were defined and selected to represent characteristics of different kinds of welding defect. Finally, a feed-forward backpropagation neural network is implemented for the purpose of defect classification. The performance of the proposed methods are tested and discussed.
Author(s): Yin Y, Tian GY, Yin GF, Luo AM
Editor(s): Cheng, K; Yao, Y; Zhou, L
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: E-Engineering and Digital Enterprise Technology: Selected, Peer Reviewed Papers from the 6th International Conference on E-engineering and Digital Enterprise Technology
Year of Conference: 2008
Publisher: Trans Tech Publications
Library holdings: Search Newcastle University Library for this item
Series Title: Applied Mechanics and Materials