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LOF-RF-based anomaly data detection method for power cables

Yuyang Jiao

Yuyang Jiao

State Grid Beijing Electric Power Company Cable BranchBeijing, China
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Jiao, Yuyang
, 
Qing Liu

Qing Liu

State Grid Beijing Electric Power Company Cable BranchBeijing, China
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Liu, Qing
, 
Guang Li

Guang Li

State Grid Beijing Electric Power Company Cable BranchBeijing, China
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Li, Guang
, 
Yiduo Xiong

Yiduo Xiong

State Grid Beijing Electric Power Company Cable BranchBeijing, China
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Xiong, Yiduo
, 
Tian Guo

Tian Guo

State Grid Beijing Electric Power Company Cable BranchBeijing, China
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Guo, Tian
, 
Yi Zhou

Yi Zhou

State Grid Beijing Electric Power Company Cable BranchBeijing, China
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Zhou, Yi
 and 
Tingting Wang

Tingting Wang

School of Control and Computer Engineering, North China Electric Power UniversityBeijing, China
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Wang, Tingting
  
Nov 22, 2024
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Published Online: Nov 22, 2024
Received: Jul 26, 2024
Accepted: Oct 24, 2024
DOI: https://doi.org/10.2478/amns-2024-3425
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© 2024 Yuyang Jiao et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Jiao, Yuyang
State Grid Beijing Electric Power Company Cable BranchBeijing, China
Liu, Qing
State Grid Beijing Electric Power Company Cable BranchBeijing, China
Li, Guang
State Grid Beijing Electric Power Company Cable BranchBeijing, China
Xiong, Yiduo
State Grid Beijing Electric Power Company Cable BranchBeijing, China
Guo, Tian
State Grid Beijing Electric Power Company Cable BranchBeijing, China
Zhou, Yi
State Grid Beijing Electric Power Company Cable BranchBeijing, China
Wang, Tingting
School of Control and Computer Engineering, North China Electric Power UniversityBeijing, China
Language:
English
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Journal Subjects:
Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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