Prediction of Remaining Useful Life of Aero-engines Based on CNN-LSTM-Attention

Abstract Accurately predicting the remaining useful life (RUL) of aircraft engines is crucial for maintaining financial stability and aviation safety. To further enhance the prediction accuracy of aircraft engine RUL, a deep learning-based RUL prediction method is proposed. This method possesses the...

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Bibliographic Details
Main Authors: Sizhe Deng, Jian Zhou
Format: Article
Language:English
Published: Springer 2024-09-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://doi.org/10.1007/s44196-024-00639-w