Skip to content
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Home
Journals
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
BiLSTM-FCN based vibration signal diagnosis of smart grid cables
Chunhua Fang
Chunhua Fang
China Three Gorges University
Yichang, China
Search for this author on
Sciendo
|
Google Scholar
Fang, Chunhua
,
Yao Zhang
Yao Zhang
China Three Gorges University
Yichang, China
Search for this author on
Sciendo
|
Google Scholar
Zhang, Yao
,
Yuning Tao
Yuning Tao
China Three Gorges University
Yichang, China
Search for this author on
Sciendo
|
Google Scholar
Tao, Yuning
,
Huangxi Chen
Huangxi Chen
State Grid Sichuan Electric Power Company
Lechuan, China
Search for this author on
Sciendo
|
Google Scholar
Chen, Huangxi
,
Tao Hu
Tao Hu
China Three Gorges University
Yichang, China
Search for this author on
Sciendo
|
Google Scholar
Hu, Tao
and
Aoqi Sun
Aoqi Sun
China Three Gorges University
Yichang, China
Search for this author on
Sciendo
|
Google Scholar
Sun, Aoqi
Jan 31, 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
Jan 31, 2024
Received:
Dec 13, 2023
Accepted:
Dec 18, 2023
DOI:
https://doi.org/10.2478/amns-2024-0049
Keywords
<kwd>Smart grid</kwd>
,
<kwd>High voltage cable</kwd>
,
<kwd>Partial discharge</kwd>
,
<kwd>Defect diagnosis</kwd>
,
<kwd>BiLSTM</kwd>
© 2024 Chunhua Fang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
