Research graph
References from A deep learning framework for remaining useful life prediction of turbofan engines with partial sensor failure. Local targets link to admitted publications; unresolved targets remain external evidence.
Deep-learning based prognosis approach for remaining useful life prediction of turbofan engine
10.3390/sym13101861 · 2021 · External reference
Remaining useful life prediction of an aircraft turbofan engine using deep layer recurrent neural networks
10.3390/act11030067 · 2022 · External reference
10.1109/iccs1.2017.8326010
10.1109/iccs1.2017.8326010 · External reference
Data-driven deep learning-based attention mechanism for remaining useful life prediction: case study application to turbofan engine analysis
10.3390/electronics10202453 · 2021 · External reference
10.1109/iciteics61368.2024.10625502
10.1109/iciteics61368.2024.10625502 · External reference
A deep learning-based prognostic approach for predicting turbofan engine degradation and remaining useful life
10.1038/s41598-025-09155-z · 2025 · External reference
Prediction of remaining useful life using fused deep learning models: a case study of turbofan engines
10.1115/1.4054090 · 2022 · External reference
Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture
10.1016/j.ress.2018.11.027 · 2019 · External reference
Bayesian adversarial adaptation network with feature disentanglement for remaining useful life prediction
10.1109/tr.2025.3626149 · 2025 · External reference
A Bayesian adversarial probsparse Transformer model for long-term remaining useful life prediction
10.1016/j.ress.2024.110188 · 2024 · External reference
Challenges in engine health monitoring instrumentation during developmental testing of gas turbine engines.
2020 · External reference
Remaining useful life prediction of turbofan engines using CNN-LSTM-SAM approach
10.1109/jsen.2023.3261874 · 2023 · External reference
Remaining useful life prognosis for turbofan engine using explainable deep neural networks with dimensionality reduction
2020 · External reference
Temporal dependency analysis in predicting RUL of aircraft structures using recurrent neural networks.
10.1007/978-3-031-68694-8_13 · 2024 · External reference
A review on deep learning in planetary gearbox health state recognition: methods, applications, and dataset publication
10.1088/1361-6501/acf390 · 2023 · External reference
Planetary gear fault diagnosis using stacked denoising autoencoder and gated recurrent unit neural network under noisy environment and time-varying rotational speed conditions
10.1088/1361-6501/ab1da0 · 2019 · External reference
A deep capsule neural network with data augmentation generative adversarial networks for single and simultaneous fault diagnosis of wind turbine gearbox
10.1016/j.isatra.2022.10.008 · 2023 · External reference
Hybrid data fusion DBN for intelligent fault diagnosis of vehicle reducers
10.3390/s19112504 · 2019 · External reference
An end-to-end neural network framework for state-of-health estimation and remaining useful life prediction of electric vehicle lithium batteries
10.1016/j.rser.2021.111843 · 2022 · External reference
Remaining useful life estimation in prognostics using deep convolution neural networks
10.1016/j.ress.2017.11.021 · 2018 · External reference
Rolling element bearing remaining useful life estimation based on a convolutional long-short-term memory network
10.1016/j.procs.2018.01.106 · 2018 · External reference
10.1109/cbase64041.2024.10824495
10.1109/cbase64041.2024.10824495 · External reference
An enhanced CNN-LSTM remaining useful life prediction model for aircraft engine with attention mechanism
2022 · External reference
Convolutional and long short-term memory neural networks based models for remaining useful life prediction
2022 · External reference
10.1109/safeprocess45799.2019.9213408
10.1109/safeprocess45799.2019.9213408 · External reference
A 3-D Attention-Enhanced Hybrid Neural Network for Turbofan Engine Remaining Life Prediction Using CNN and BiLSTM Models
10.1109/jsen.2023.3296670 · 2024 · External reference
A two-stage attention-based hierarchical transformer for turbofan engine remaining useful life prediction
10.3390/s24030824 · 2024 · External reference
Global attention mechanism based deep learning for remaining useful life prediction of aero-engine
10.1016/j.measurement.2023.113098 · 2023 · External reference
A novel physical constraint-guided quadratic neural networks for interpretable bearing fault diagnosis under zero-fault sample
2025 · External reference
A liquid-impulse neural network model based on heterogeneous fusion of multimodal information for interpretable rotating machinery fault diagnosis
10.1016/j.ymssp.2026.113923 · 2026 · External reference
Optimizing prior distribution parameters for probabilistic prediction of remaining useful life using deep learning
10.1016/j.ress.2023.109793 · 2024 · External reference
A review on deep learning in planetary gearbox health state recognition: methods, applications, and dataset publication
10.1088/1361-6501/acf390 · 2023 · External reference
A novel rolling bearing fault diagnosis method based on time-series fusion transformer with interpretability analysis
2024 · External reference
DTMPI-DIVR: a digital twins for multi-margin physical information via dynamic interaction of virtual and real sound-vibration signals for bearing fault diagnosis without real fault samples
10.1016/j.eswa.2025.128592 · 2025 · External reference
A self-supervised masked spatial distribution learning method for predicting machinery remaining useful life with missing data reconstruction
10.1016/j.aei.2024.102938 · 2025 · External reference
Prediction of railcar remaining useful life by multiple data source fusion
10.1109/tits.2015.2400424 · 2015 · External reference
Unresolved reference
External reference
SAITS: self-attention-based imputation for time series
10.1016/j.eswa.2023.119619 · 2023 · External reference
Adaptive optimization for prediction with missing data
10.1007/s10994-025-06757-6 · 2025 · External reference
Unresolved reference
External reference
10.1609/aaai.v39i17.33967
10.1609/aaai.v39i17.33967 · External reference
Unveiling the secrets: How masking strategies shape time series imputation
2024 · External reference
Imputation of missing data using masked denoising autoencoder with L2-norm regularization in software effort estimation
2024 · External reference
Deep convolutional neural network based regression approach for estimation of remaining useful life.
2016 · External reference
Machine remaining useful life prediction via an attention-based deep learning approach
10.1109/tie.2020.2972443 · 2021 · External reference
A transformer with layer-cross decoding for remaining useful life prediction
10.1007/s11227-023-05126-1 · 2023 · External reference
Dynamic predictive maintenance strategy for system remaining useful life prediction via deep learning ensemble method
10.1016/j.ress.2024.110012 · 2024 · External reference
