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

Abdelli, Khouloud; Griesser, Helmut; Pachnicke, Stephan

doi:10.48550/arXiv.2203.12415

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

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posted on 2023-01-12, 15:20 authored by 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.

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URL - References https://doi.org/10.48550/arXiv.2203.12415
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DOI - Is supplement to A Hybrid CNN-LSTM Approach for Laser Remaining Useful Life Prediction

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

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