2000 character limit reached
A Hybrid CNN-LSTM Approach for Laser Remaining Useful Life Prediction (2203.12415v1)
Published 19 Mar 2022 in eess.SP and cs.LG
Abstract: 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.
Sponsor
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.