GIS partial discharge pattern recognition via lightweight convolutional neural network in the ubiquitous power internet of things context
Author:
Affiliation:
1. State Key Laboratory of Electrical Insulation and Power EquipmentXi'an Jiaotong UniversityXi'anPeople's Republic of China
2. School of Computer ScienceXi'an Jiaotong UniversityXi'anPeople's Republic of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-smt.2019.0542
Reference36 articles.
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4. QuQ.ZhenY.LiX.et al.: ‘Application of internet of things in smart grid power transmission’.Proc. 2012 Third FTRA Int. Conf. on Mobile Ubiquitous and Intelligent Computing (MUSIC) Vancouver BC Canada June 2012 pp.96–100
5. Explanation and prospect of ubiquitous electric power internet of things;Yang T.;Autom. Electr. Power Syst.,2019
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