Paper ID: 2203.12415

A Hybrid CNN-LSTM Approach for Laser Remaining Useful Life Prediction

Khouloud Abdelli, Helmut Griesser, Stephan Pachnicke

A hybrid prognostic model based on convolutional neural networks (CNN) and long short-term memory (LSTM) is proposed to predict the laser remaining useful life (RUL). The experimental results show that it outperforms the conventional methods.

Submitted: Mar 19, 2022