A remaining useful life prognosis of turbofan engine using temporal and spatial feature fusion
C Peng, Y Chen, Q Chen, Z Tang, L Li, W Gui - Sensors, 2021 - mdpi.com
The prognosis of the remaining useful life (RUL) of turbofan engine provides an important
basis for predictive maintenance and remanufacturing, and plays a major role in reducing …
basis for predictive maintenance and remanufacturing, and plays a major role in reducing …
Data-driven deep learning-based attention mechanism for remaining useful life prediction: Case study application to turbofan engine analysis
Accurately predicting the remaining useful life (RUL) of the turbofan engine is of great
significance for improving the reliability and safety of the engine system. Due to the high …
significance for improving the reliability and safety of the engine system. Due to the high …
A deep learning model for remaining useful life prediction of aircraft turbofan engine on C-MAPSS dataset
In the era of industry 4.0, safety, efficiency and reliability of industrial machinery is an
elementary concern in trade sectors. The accurate remaining useful life (RUL) prediction of …
elementary concern in trade sectors. The accurate remaining useful life (RUL) prediction of …
An attention-based temporal convolutional network method for predicting remaining useful life of aero-engine
Q Zhang, Q Liu, Q Ye - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Abstract Researches on Remaining Useful Life (RUL) prediction of aero-engine could help
to make maintenance plans, improve operation reliabilities and reduce maintenance costs …
to make maintenance plans, improve operation reliabilities and reduce maintenance costs …
Remaining useful life prediction of turbofan engine using hybrid model based on autoencoder and bidirectional long short-term memory
Y Song, G Shi, L Chen, X Huang, T Xia - Journal of Shanghai Jiaotong …, 2018 - Springer
Turbofan engine is a critical aircraft component with complex structure and high-reliability
requirements. Effectively predicting the remaining useful life (RUL) of turbofan engines has …
requirements. Effectively predicting the remaining useful life (RUL) of turbofan engines has …
Deep-learning based prognosis approach for remaining useful life prediction of turbofan engine
The entire life cycle of a turbofan engine is a type of asymmetrical process in which each
engine part has different characteristics. Extracting and modeling the engine symmetry …
engine part has different characteristics. Extracting and modeling the engine symmetry …
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 …
serious air disaster due to engine failure by mining its component degradation …
Remaining Useful Life Estimation of Turbofan Engines with Deep Learning Using Change-Point Detection Based Labeling and Feature Engineering
Accurate remaining useful life (RUL) prediction is one of the most challenging problems in
the prognostics of turbofan engines. Recently, RUL prediction methods for turbofan engines …
the prognostics of turbofan engines. Recently, RUL prediction methods for turbofan engines …
A 3D attention-enhanced hybrid neural network for turbofan engine remaining life prediction using CNN and BiLSTM models
Y Keshun, Q Guangqi, G Yingkui - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
As the most popular power source equipment in commercial aviation, turbofan engines face
problems such as difficulties in data acquisition and unbalanced data sets. In addition, it is …
problems such as difficulties in data acquisition and unbalanced data sets. In addition, it is …
Deep bidirectional recurrent neural networks ensemble for remaining useful life prediction of aircraft engine
Remaining useful life (RUL) prediction of aircraft engine (AE) is of great importance to
improve its reliability and availability, and reduce its maintenance costs. This article …
improve its reliability and availability, and reduce its maintenance costs. This article …