Transient thermography for flaw detection in friction stir welding : a machine learning approach

Atwya, M. orcid.org/0000-0003-2699-1415 and Panoutsos, G. orcid.org/0000-0002-7395-8418 (2019) Transient thermography for flaw detection in friction stir welding : a machine learning approach. IEEE Transactions on Industrial Informatics. ISSN 1551-3203

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Copyright, Publisher and Additional Information: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Friction-stir welding; Non-destructive testing; Infrared thermal imaging; Image processing; Transient thermography; Artificial neural-network; Machine learning
Dates:
  • Accepted: 21 September 2019
  • Published (online): 17 October 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 21 Oct 2019 13:26
Last Modified: 21 Oct 2019 13:26
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/TII.2019.2948023

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