Fault Localization Method Based on Spatio-Temporal Correlation in Optical Transport Networks

We propose a fault localization method based on ML model, which achieves an accuracy of 0.995 and an F1 score of 0.943. The spatio-temporal correlation slicing method can significantly improve the performance of ML models.

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Publication Details

Published
2024-11-02
DOI
https://doi.org/10.1109/acp/ipoc63121.2024.10809535
Citations
2
Primary Topic
Advanced Photonic Communication Systems
Type
article
Field-Weighted Citation Impact
0.42
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article

Fault Localization Method Based on Spatio-Temporal Correlation in Optical Transport Networks

Rentao Gu, Ning An, Hui Li, Xin Qin
2 citations
Advanced Photonic Communication Systems
0.42
article

Fault Localization Method Based on Spatio-Temporal Correlation in Optical Transport Networks

Rentao Gu, Ning An, Hui Li, Xin Qin
article en
2 citations

Abstract

We propose a fault localization method based on ML model, which achieves an accuracy of 0.995 and an F1 score of 0.943. The spatio-temporal correlation slicing method can significantly improve the performance of ML models.

Beijing University of Posts and Telecommunications (CN), China Telecom (China) (CN), China Telecom (CN)
Openalex Percentile: Top 36%
Advanced Photonic Communication Systems
0.42
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