Gated Recurrent Unit based Autoencoder for Optical Link Fault Diagnosis in Passive Optical Networks

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Mar 19, 2022
Khouloud Abdelli, Florian Azendorf, Helmut Griesser, Carsten Tropschug, Stephan Pachnicke
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We propose a deep learning approach based on an autoencoder for identifying and localizing fiber faults in passive optical networks. The experimental results show that the proposed method detects faults with 97% accuracy, pinpoints them with an RMSE of 0.18 m and outperforms conventional techniques.

* 2021 European Conference on Optical Communication (ECOC)  
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