MHT: A multiscale hourglass-transformer for remaining useful life prediction of aircraft engine

J Guo, S Lei, B Du - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Remaining useful life (RUL) prediction of aircraft engines is significant in the health
monitoring, operation, and maintenance of aircraft. Capturing more comprehensive device …

Dual-frequency enhanced attention network for aircraft engine remaining useful life prediction

Q Yang, B Tang, Q Li, X Liu, L Bao - ISA transactions, 2023 - Elsevier
Accurately evaluating the remaining useful life (RUL) of aircraft engines is crucial for
ensuring operational safety and reliability, and serves as a critical foundation for making …

Joint learning strategy of multi-scale multi-task convolutional neural network for aero-engine prognosis

L Zhou, H Wang, S Xu - Applied Soft Computing, 2024 - Elsevier
Remaining useful life (RUL) prediction and health status (HS) assessment are two key tasks
in aero-engine prognostics and health management (PHM) system. However, existing deep …

Novel transformer-based fusion models for aero-engine remaining useful life estimation

Q Hu, Y Zhao, L Ren - IEEE Access, 2023 - ieeexplore.ieee.org
Remaining Useful Life (RUL) estimation is a crucial technology in prognostic and health
management (PHM) for modern aero-engines, as it ensures the reliability and safety of …

A novel transformer-based DL model enhanced by position-sensitive attention and gated hierarchical LSTM for aero-engine RUL prediction

X Chen - Scientific Reports, 2024 - nature.com
Accurate prediction of remaining useful life (RUL) for aircraft engines is essential for
proactive maintenance and safety assurance. However, existing methods such as physics …

Enhancing non-stationary feature learning for remaining useful life prediction of aero-engine under multiple operating conditions

H Liu, Y Sun, W Ding, H Wu, H Zhang - Measurement, 2024 - Elsevier
Remaining useful life (RUL) estimation has been widely concerned, given its significant role
in prognostics and health management of industry systems. This paper focuses on the non …

An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life prediction

A Ayodeji, W Wang, J Su, J Yuan, X Liu - arXiv preprint arXiv:2109.01761, 2021 - arxiv.org
A single unit (head) is the conventional input feature extractor in deep learning architectures
trained on multivariate time series signals. The importance of the fixed-dimensional vector …

A dual path hybrid neural network framework for remaining useful life prediction of aero‐engine

X Lu, H Pan, L Zhang, L Ma… - Quality and Reliability …, 2024 - Wiley Online Library
Predicting the remaining useful life (RUL) of an engine is one of the key tasks of Prognostics
and health management (PHM). Modern mechanical equipment typically operates in …

Channel attention & temporal attention based temporal convolutional network: A dual attention framework for remaining useful life prediction of the aircraft engines

L Lin, J Wu, S Fu, S Zhang, C Tong, L Zu - Advanced Engineering …, 2024 - Elsevier
The health of the aircraft engines is of great concern. And it is a key task to predict the
remaining useful life (RUL) of the aircraft engines accurately. However, there are still …

Remaining useful life prediction of turbofan engines using CNN-LSTM-SAM approach

J Li, Y Jia, M Niu, W Zhu, F Meng - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Accurate remaining useful life (RUL) prediction of turbofan engines can effectively avoid
serious air disaster due to engine failure by mining its component degradation …