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

Helmut Griesser; Khouloud Abdelli; Stephan Pachnicke

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

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arxiv 2203.12415 v1 pith:VNVUCGUL submitted 2022-03-19 eess.SP cs.LG

Khouloud Abdelli , Helmut Griesser , Stephan Pachnicke This is my paper · ORCID

classification eess.SPcs.LG

keywords hybridlaserliferemainingusefulapproachcnn-lstmconventional

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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.

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