论文标题
激光剩余使用寿命预测的混合CNN-LSTM方法
A Hybrid CNN-LSTM Approach for Laser Remaining Useful Life Prediction
论文作者
论文摘要
提出了基于卷积神经网络（CNN）和长短期记忆（LSTM）的混合预后模型，以预测激光剩余的使用寿命（RUL）。实验结果表明，它的表现优于常规方法。
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.
