Augmented classification for electrical coil winding defects

Farnsworth, M., Tiwari, D., Zhang, Z. et al. (2 more authors) (2022) Augmented classification for electrical coil winding defects. The International Journal of Advanced Manufacturing Technology, 119 (11-12). pp. 6949-6965. ISSN 0268-3768



  • Farnsworth, M.
  • Tiwari, D.
  • Zhang, Z.
  • Jewell, G.W.
  • Tiwari, A.
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Keywords: Electrical machines; Machine learning; Computer vision; Manufacturing; Coil winding
  • Accepted: 4 January 2022
  • Published (online): 23 January 2022
  • Published: April 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Funding Information:
FunderGrant number
Engineering and Physical Sciences Research CouncilEP/S018034/1
Depositing User: Symplectic Sheffield
Date Deposited: 07 Feb 2022 13:44
Last Modified: 30 Nov 2022 14:40
Status: Published
Publisher: Springer Nature
Refereed: Yes
Identification Number: