Data Augmentation for Intelligent Manufacturing with Generative Adversarial Framework

Wang, Y, Li, K orcid.org/0000-0001-6657-0522, Gan, S et al. (2 more authors) (2019) Data Augmentation for Intelligent Manufacturing with Generative Adversarial Framework. In: Proceedings of the 2019 1st International Conference on Industrial Artificial Intelligence (IAI). The 1st International Conference on Industrial Artificial Intelligence (IAI 2019), 23-27 Jul 2019, Shenyang, China. IEEE . ISBN 978-1-7281-3593-9

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2019, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.
Keywords: Generators; Estimation; Monitoring; Industries; Training; Manufacturing; Gallium nitride
Dates:
  • Published: 30 September 2019
  • Accepted: 26 June 2019
  • Published (online): 30 September 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Funding Information:
FunderGrant number
EPSRCEP/P004636/1
Depositing User: Symplectic Publications
Date Deposited: 05 Nov 2019 11:44
Last Modified: 12 Nov 2019 09:54
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/iciai.2019.8850773

Share / Export

Statistics