Open AccessNeural Detection of Foreign Objects for Transmission Lines in Power Systems
Author(s) -
Pengfei Xia,
Jingwei Yin,
He Jiang,
Gu Li,
Kejun Yang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1267/1/012043
Subject(s) - economic shortage , electric power transmission , transmission (telecommunications) , computer science , artificial neural network , data transmission , power (physics) , power transmission , task (project management) , maximum power transfer theorem , transfer (computing) , transfer of learning , real time computing , artificial intelligence , telecommunications , electrical engineering , engineering , computer network , linguistics , philosophy , physics , systems engineering , quantum mechanics , government (linguistics) , parallel computing