Application of machine learning in automatic fault detection for passive optical network

Miao Song; Peng Zhang

doi:10.1117/12.3029069

22 May 2024 Application of machine learning in automatic fault detection for passive optical network

Miao Song, Peng Zhang

Proceedings Volume 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023); 131760Y (2024) https://doi.org/10.1117/12.3029069
Event: Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 2023, Hangzhou, China

Abstract

The transformation of all-optical networks is an important task for communication operators to meet the needs of the new diversified comprehensive information services. The service experience of users was affected by quality of the network directly, network operation and maintenance is an important task of operation. This paper focus on the application of machine learning technology in network operation and maintenance quality analysis; automatically determine fault points by training historical network performance indicators and status data. The method proposed can predict the location of faults, improve the quality and efficiency of PON maintenance and reduce daily maintenance workload. Through practical, the solution proposed has demonstrated feasibility and can provide reference for the construction of intelligent operation and maintenance platforms for network operators.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Miao Song and Peng Zhang "Application of machine learning in automatic fault detection for passive optical network", Proc. SPIE 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 131760Y (22 May 2024); https://doi.org/10.1117/12.3029069

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