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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
Remote fault detection and location of power fiber optic cable based on a logistic regression model
Xin Wang
Xin Wang
State Grid Xinjiang Electric Power Co., Ltd. Information Communication Company
Urumqi, China
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Wang, Xin
,
Gang Liang
Gang Liang
State Grid Xinjiang Electric Power Co., Ltd. Information Communication Company
Urumqi, China
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Liang, Gang
,
Limin Cu
Limin Cu
State Grid Xinjiang Electric Power Co., Ltd. Information Communication Company
Urumqi, China
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Cu, Limin
,
Qing Li
Qing Li
State Grid Xinjiang Electric Power Co., Ltd. Information Communication Company
Urumqi, China
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Li, Qing
and
Changyue Hu
Changyue Hu
State Grid Xinjiang Electric Power Co., Ltd. Information Communication Company
Urumqi, China
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Hu, Changyue
Jul 24, 2023
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
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Published Online:
Jul 24, 2023
Received:
Jan 23, 2022
Accepted:
Aug 14, 2022
DOI:
https://doi.org/10.2478/amns.2023.2.00077
Keywords
<kwd>Logistic regression model</kwd>
,
<kwd>Power fiber optic cable</kwd>
,
<kwd>Fault detection and location</kwd>
,
<kwd>Chaotic sequence</kwd>
© 2023 Xin Wang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
