Multicellular LSTM-based deep learning model for aero-engine remaining useful life prediction
The prediction of aero-engine remaining useful life (RUL) is helpful for its operation and
maintenance. Aiming at the challenge that most neural networks (NNs), including long short …
maintenance. Aiming at the challenge that most neural networks (NNs), including long short …
Prediction of remaining useful life of multi-stage aero-engine based on clustering and LSTM fusion
J Liu, F Lei, C Pan, D Hu, H Zuo - Reliability Engineering & System Safety, 2021 - Elsevier
Abstract Accurately predicting the Remaining Useful Life (RUL) of an aero-engine is of great
significance for airlines to make maintenance plans reasonably and reduce maintenance …
significance for airlines to make maintenance plans reasonably and reduce maintenance …
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 …
A concise self-adapting deep learning network for machine remaining useful life prediction
Most remaining useful life (RUL) prediction methods learn the feature using a single fixed
pattern, resulting in a lack of self-adapting learning capability and a decrease in …
pattern, resulting in a lack of self-adapting learning capability and a decrease in …
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 …
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 …
Joint learning of degradation assessment and RUL prediction for aeroengines via dual-task deep LSTM networks
H Miao, B Li, C Sun, J Liu - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
Health assessment and prognostics are two key tasks within the prognostics and health
management frame of equipment. However, existing works are performing these two tasks …
management frame of equipment. However, existing works are performing these two tasks …
[HTML][HTML] 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 …
Aircraft engines remaining useful life prediction based on a hybrid model of autoencoder and deep belief network
Remaining Useful Life (RUL) is used to provide an early indication of failures that required
performing maintenance and/or replacement of the system in advance. Accurate RUL …
performing maintenance and/or replacement of the system in advance. Accurate RUL …
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