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Machinery health prognostics: A systematic review from data acquisition to RUL prediction

Mechanical systems and signal processing, 2018-05, Vol.104, p.799-834

2018

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A new data-driven transferable remaining useful life prediction approach for bearing under different working conditions

Mechanical systems and signal processing, 2020-05, Vol.139, p.106602, Article 106602

2020

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Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach

IEEE transactions on industrial electronics (1982), 2021-03, Vol.68 (3), p.2521-2531

2021

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A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery

IEEE transactions on industrial electronics (1982), 2021-04, Vol.68 (4), p.3170-3180

2021

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Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

IEEE transactions on vehicular technology, 2018-07, Vol.67 (7), p.5695-5705

2018

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Remaining useful life estimation using a bidirectional recurrent neural network based autoencoder scheme

Mechanical systems and signal processing, 2019-08, Vol.129, p.764-780

2019

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A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

IEEE transactions on reliability, 2020-03, Vol.69 (1), p.401-412

2020

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Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture

IEEE transactions on industrial electronics (1982), 2019-12, Vol.66 (12), p.9521-9530

2019

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Remaining useful life estimation in prognostics using deep convolution neural networks

Reliability engineering & system safety, 2018-04, Vol.172, p.1-11

2018

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Estimation of Bearing Remaining Useful Life Based on Multiscale Convolutional Neural Network

IEEE transactions on industrial electronics (1982), 2019-04, Vol.66 (4), p.3208-3216

2019

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Aircraft engine remaining useful life estimation via a double attention-based data-driven architecture

Reliability engineering & system safety, 2022-05, Vol.221, p.108330, Article 108330

2022

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Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing

IEEE transactions on industrial informatics, 2019-04, Vol.15 (4), p.2416-2425

2019

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Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence

Reliability engineering & system safety, 2021-06, Vol.210, p.107560, Article 107560

2021

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Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions

Reliability engineering & system safety, 2021-07, Vol.211, p.107556, Article 107556

2021

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A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings

Reliability engineering & system safety, 2021-11, Vol.215, p.107813, Article 107813

2021

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Deep-Convolution-Based LSTM Network for Remaining Useful Life Prediction

IEEE transactions on industrial informatics, 2021-03, Vol.17 (3), p.1658-1667

2021

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Remaining useful life estimation – A review on the statistical data driven approaches

European journal of operational research, 2011-08, Vol.213 (1), p.1-14

2011

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Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries

Reliability engineering & system safety, 2023-02, Vol.230, p.108920, Article 108920

2023

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Lithium-Ion Battery Health Prognosis Based on a Real Battery Management System Used in Electric Vehicles

IEEE transactions on vehicular technology, 2019-05, Vol.68 (5), p.4110-4121

2019

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Deep separable convolutional network for remaining useful life prediction of machinery

Mechanical systems and signal processing, 2019-12, Vol.134, p.106330, Article 106330

2019

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Prediction of remaining useful life based on bidirectional gated recurrent unit with temporal self-attention mechanism

Reliability engineering & system safety, 2022-05, Vol.221, p.108297, Article 108297

2022

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A dual-LSTM framework combining change point detection and remaining useful life prediction

Reliability engineering & system safety, 2021-01, Vol.205, p.107257, Article 107257

2021

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Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery

IEEE transactions on industrial electronics (1982), 2021-08, Vol.68 (8), p.7496-7504

2021

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Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction

Reliability engineering & system safety, 2019-02, Vol.182, p.208-218

2019

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Predicting Remaining Useful Life of Rolling Bearings Based on Deep Feature Representation and Transfer Learning

IEEE transactions on instrumentation and measurement, 2020-04, Vol.69 (4), p.1594-1608

2020

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Machinery health prognostics: A systematic review from data acquisition to RUL prediction

A new data-driven transferable remaining useful life prediction approach for bearing under different working conditions

Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach

A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery

Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

Remaining useful life estimation using a bidirectional recurrent neural network based autoencoder scheme

A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture

Remaining useful life estimation in prognostics using deep convolution neural networks

Estimation of Bearing Remaining Useful Life Based on Multiscale Convolutional Neural Network

Aircraft engine remaining useful life estimation via a double attention-based data-driven architecture

Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing

Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence

Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions

A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings

Deep-Convolution-Based LSTM Network for Remaining Useful Life Prediction

Remaining useful life estimation – A review on the statistical data driven approaches

Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries

Lithium-Ion Battery Health Prognosis Based on a Real Battery Management System Used in Electric Vehicles

Deep separable convolutional network for remaining useful life prediction of machinery

Prediction of remaining useful life based on bidirectional gated recurrent unit with temporal self-attention mechanism

A dual-LSTM framework combining change point detection and remaining useful life prediction

Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery

Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction

Predicting Remaining Useful Life of Rolling Bearings Based on Deep Feature Representation and Transfer Learning

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