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BiLSTM-FCN based vibration signal diagnosis of smart grid cables

Chunhua Fang

Chunhua Fang

China Three Gorges UniversityYichang, China
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Fang, Chunhua
, 
Yao Zhang

Yao Zhang

China Three Gorges UniversityYichang, China
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Zhang, Yao
, 
Yuning Tao

Yuning Tao

China Three Gorges UniversityYichang, China
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Tao, Yuning
, 
Huangxi Chen

Huangxi Chen

State Grid Sichuan Electric Power CompanyLechuan, China
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Chen, Huangxi
, 
Tao Hu

Tao Hu

China Three Gorges UniversityYichang, China
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Hu, Tao
 and 
Aoqi Sun

Aoqi Sun

China Three Gorges UniversityYichang, China
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Sun, Aoqi
  
Jan 31, 2024
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Published Online: Jan 31, 2024
Received: Dec 13, 2023
Accepted: Dec 18, 2023
DOI: https://doi.org/10.2478/amns-2024-0049
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© 2024 Chunhua Fang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Fang, Chunhua
China Three Gorges UniversityYichang, China
Zhang, Yao
China Three Gorges UniversityYichang, China
Tao, Yuning
China Three Gorges UniversityYichang, China
Chen, Huangxi
State Grid Sichuan Electric Power CompanyLechuan, China
Hu, Tao
China Three Gorges UniversityYichang, China
Sun, Aoqi
China Three Gorges UniversityYichang, 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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