Attention and Long Short-Term Memory Network for Remaining Useful Lifetime Predictions of Turbofan Engine Degradation

• Published in: International journal of prognostics and health management Vol. 10; no. 4
• Main Authors: Costa, Paulo Roberto de Oliveira da, Akcay, Alp, Zhang, Yingqian, Kaymak, Uzay
• Format: Journal Article
• Language: English
• Published: The Prognostics and Health Management Society 04.06.2023
• Subjects: attention; deep learning; prognostics; recurrent neural networks

Machine Prognostics and Health Management (PHM) is often concerned with the prediction of the Remaining Useful Lifetime (RUL) of assets. Accurate real-time RUL predictions enable equipment health assessment and maintenance planning. In this work, we propose a Long Short-Term Memory (LSTM) network co...