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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
 e 
Tingting Wang

Tingting Wang

School of Control and Computer Engineering, North China Electric Power UniversityBeijing, China
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Wang, Tingting
  
22 nov 2024
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Pubblicato online: 22 nov 2024
Ricevuto: 26 lug 2024
Accettato: 24 ott 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
Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro
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