A BiLSTM-CNN based Multitask Learning Approach for Fiber Fault Diagnosis

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.

Khouloud Abdelli, Helmut Griesser, Carsten Tropschug, Stephan Pachnicke · 2022