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A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures

Neural computation, 2019-07, Vol.31 (7), p.1235-1270

2019

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A Wiener-process-inspired semi-stochastic filtering approach for prognostics

Reliability engineering & system safety, 2024-09, Vol.249, p.110200, Article 110200

2024

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Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model

Reliability engineering & system safety, 2019-06, Vol.186, p.88-100

2019

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Remaining Useful Life Prediction of Lithium-Ion Batteries Based on the Wiener Process with Measurement Error

Energies (Basel), 2014, Vol.7 (2), p.520-547

2014

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A maintenance optimization model for mission-oriented systems based on Wiener degradation

Reliability engineering & system safety, 2013-03, Vol.111, p.183-194

2013

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Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Wiener Processes with Considering the Relaxation Effect

Energies (Basel), 2019-05, Vol.12 (9), p.1685

2019

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Robust Sliding Mode-Based Learning Control for MIMO Nonlinear Nonminimum Phase System in General Form

IEEE transactions on cybernetics, 2019-10, Vol.49 (10), p.3793-3805

2019

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A Novel Unified and Self-Stabilizing Algorithm for Generalized Eigenpairs Extraction

IEEE transaction on neural networks and learning systems, 2017-12, Vol.28 (12), p.3032-3044

2017

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Lifetime Estimation for Multi-Phase Deteriorating Process with Random Abrupt Jumps

Sensors (Basel, Switzerland), 2019-03, Vol.19 (6), p.1472

2019

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Residual life estimation of lithium-ion batteries based on nonlinear Wiener process with measurement error

Proceedings of the Institution of Mechanical Engineers. Part O, Journal of risk and reliability, 2023-02, Vol.237 (1), p.133-151

2023

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Remaining useful life prediction of implicit linear Wiener degradation process based on multi-source information

Proceedings of the Institution of Mechanical Engineers. Part O, Journal of risk and reliability, 2024-02, Vol.238 (1), p.93-111

2024

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State-of-Health Estimation for Lithium-Ion Batteries Based on Wiener Process With Modeling the Relaxation Effect

IEEE access, 2019, Vol.7, p.105186-105201

2019

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Remaining Useful Life Prediction Based on an Adaptive Inverse Gaussian Degradation Process With Measurement Errors

IEEE access, 2020, Vol.8, p.3498-3510

2020

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A State-Space-Based Prognostic Model for Hidden and Age-Dependent Nonlinear Degradation Process

IEEE transactions on automation science and engineering, 2013-10, Vol.10 (4), p.1072-1086

2013

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An Adaptive Remaining Useful Life Estimation Approach for Newly Developed System Based on Nonlinear Degradation Model

IEEE access, 2019, Vol.7, p.82162-82173

2019

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A Sequential Bayesian Updated Wiener Process Model for Remaining Useful Life Prediction

IEEE access, 2020, Vol.8, p.5471-5480

2020

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A survey on life prediction of equipment

Chinese journal of aeronautics, 2015-02, Vol.28 (1), p.25-33

2015

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An Age-Dependent and State-Dependent Adaptive Prognostic Approach for Hidden Nonlinear Degrading System

IEEE/CAA journal of automatica sinica, 2022-05, Vol.9 (5), p.907-921

2022

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A case study of remaining storage life prediction using stochastic filtering with the influence of condition monitoring

Reliability engineering & system safety, 2014-12, Vol.132, p.186-195

2014

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A Novel Multi-Phase Stochastic Model for Lithium-Ion Batteries’ Degradation with Regeneration Phenomena

Energies (Basel), 2017-11, Vol.10 (11), p.1687

2017

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Remaining Useful life Estimation: A Review on Stochastic Process-based Approaches

Recent Patents on Engineering, 2021, Vol.15 (1), p.69-76

2021

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Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods

European journal of operational research, 2018-12, Vol.271 (3), p.775-796

2018

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Remaining Useful Life Prediction of Lithium-Ion Batteries Based on a Cubic Polynomial Degradation Model and Envelope Extraction

Batteries (Basel), 2023-09, Vol.9 (9), p.441

2023

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Modified Bayesian D-Optimality for Accelerated Degradation Test Design With Model Uncertainty

IEEE access, 2019, Vol.7, p.42181-42189

2019

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Remaining Useful Life Prediction Under Imperfect Prior Degradation Information

IEEE access, 2020, Vol.8, p.189262-189275

2020

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A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures

A Wiener-process-inspired semi-stochastic filtering approach for prognostics

Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on the Wiener Process with Measurement Error

A maintenance optimization model for mission-oriented systems based on Wiener degradation

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Wiener Processes with Considering the Relaxation Effect

Robust Sliding Mode-Based Learning Control for MIMO Nonlinear Nonminimum Phase System in General Form

A Novel Unified and Self-Stabilizing Algorithm for Generalized Eigenpairs Extraction

Lifetime Estimation for Multi-Phase Deteriorating Process with Random Abrupt Jumps

Residual life estimation of lithium-ion batteries based on nonlinear Wiener process with measurement error

Remaining useful life prediction of implicit linear Wiener degradation process based on multi-source information

State-of-Health Estimation for Lithium-Ion Batteries Based on Wiener Process With Modeling the Relaxation Effect

Remaining Useful Life Prediction Based on an Adaptive Inverse Gaussian Degradation Process With Measurement Errors

A State-Space-Based Prognostic Model for Hidden and Age-Dependent Nonlinear Degradation Process

An Adaptive Remaining Useful Life Estimation Approach for Newly Developed System Based on Nonlinear Degradation Model

A Sequential Bayesian Updated Wiener Process Model for Remaining Useful Life Prediction

A survey on life prediction of equipment

An Age-Dependent and State-Dependent Adaptive Prognostic Approach for Hidden Nonlinear Degrading System

A case study of remaining storage life prediction using stochastic filtering with the influence of condition monitoring

A Novel Multi-Phase Stochastic Model for Lithium-Ion Batteries’ Degradation with Regeneration Phenomena

Remaining Useful life Estimation: A Review on Stochastic Process-based Approaches

Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on a Cubic Polynomial Degradation Model and Envelope Extraction

Modified Bayesian D-Optimality for Accelerated Degradation Test Design With Model Uncertainty

Remaining Useful Life Prediction Under Imperfect Prior Degradation Information

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