arXiv.svg (5.58 kB)
A BiLSTM-CNN based Multitask Learning Approach for Fiber Fault Diagnosis
preprintposted on 2023-01-12, 15:05 authored by Khouloud Abdelli, Helmut Griesser, Carsten Tropschug, Stephan Pachnicke
A novel multitask learning approach based on stacked bidirectional long short-term memory (BiLSTM) networks and convolutional neural networks (CNN) for detecting, locating, characterizing, and identifying fiber faults is proposed. It outperforms conventionally employed techniques.