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Remaining Useful Life Prediction for Bearings Based on a Gated Recurrent Unit

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-11

2021

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Remaining Useful Life Prediction for a Nonlinear Heterogeneous Wiener Process Model With an Adaptive Drift

IEEE transactions on reliability, 2015-06, Vol.64 (2), p.687-700

2015

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Real-time Reliability Prediction for a Dynamic System Based on the Hidden Degradation Process Identification

IEEE transactions on reliability, 2008-06, Vol.57 (2), p.230-242

2008

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A Data-Driven Health Prognostics Approach for Steam Turbines Based on Xgboost and DTW

IEEE access, 2019, Vol.7, p.93131-93138

2019

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A value-based preventive maintenance policy for multi-component system with continuously degrading components

Reliability engineering & system safety, 2014-12, Vol.132, p.83-89

2014

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Performance of a synthetic resin for lithium adsorption in waste liquid of extracting aluminum from fly-ash

Chinese journal of chemical engineering, 2022-04, Vol.44 (4), p.115-123

2022

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A New Real-Time Reliability Prediction Method for Dynamic Systems Based on On-Line Fault Prediction

IEEE transactions on reliability, 2009-09, Vol.58 (3), p.523-538

2009

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Condition Monitoring of Wind Turbine Generators Based on SCADA Data and Feature Transfer Learning

IEEE access, 2023-01, Vol.11, p.1-1

2023

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A web-based novel prediction model for predicting depression in elderly patients with coronary heart disease: A multicenter retrospective, propensity-score matched study

Frontiers in psychiatry, 2022-10, Vol.13, p.949753-949753

2022

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Abnormal Condition Monitoring and Diagnosis for Coal Mills Based on Support Vector Regression

IEEE access, 2019, Vol.7, p.170488-170499

2019

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A novel three-stage multi-population evolutionary algorithm for constrained multi-objective optimization problems

Complex & intelligent systems, 2024-02, Vol.10 (1), p.655-675

2024

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Performance Degradation Monitoring for Onboard Speed Sensors of Trains

IEEE transactions on intelligent transportation systems, 2012-09, Vol.13 (3), p.1287-1297

2012

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Influence of Inter- and Intra-Batch Variability on the Sample Size Required for Demonstration of Equivalent Microstructure of Semisolid Dosage Forms

Pharmaceutics, 2020-11, Vol.12 (12), p.1159

2020

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A new fault detection method for computer networks

Reliability engineering & system safety, 2013-06, Vol.114, p.45-51

2013

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A model for degradation prediction with change point based on Wiener process

2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2015, p.986-990

2015

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Spatio-Temporal Fusion Attention: A Novel Approach for Remaining Useful Life Prediction Based on Graph Neural Network

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-12

2022

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Remaining useful life prediction for an adaptive skew-Wiener process model

Mechanical systems and signal processing, 2017-03, Vol.87, p.294-306

2017

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An imperfect maintenance policy for mission-oriented systems subject to degradation and external shocks

Computers & industrial engineering, 2016-12, Vol.102, p.21-32

2016

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A contrastive learning framework enhanced by unlabeled samples for remaining useful life prediction

Reliability engineering & system safety, 2023-06, Vol.234, p.109163, Article 109163

2023

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An Adaptive Condition Monitoring Method of Wind Turbines Based on Multivariate State Estimation Technique and Continual Learning

IEEE transactions on instrumentation and measurement, 2023, Vol.72, p.1-9

2023

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Incremental Learning Method for Wind Turbine Fault Detection Models Considering False Negatives

IEEE transactions on instrumentation and measurement, 2024, Vol.73, p.1-13

2024

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Remaining useful life prediction for a hidden wiener process with an adaptive drift

2013 IEEE International Conference on Industrial Engineering and Engineering Management, 2013, p.1396-1400

2013

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Remaining useful life prediction with uncertainty quantification based on multi-distribution fusion structure

Reliability engineering & system safety, 2024-11, Vol.251, p.110383, Article 110383

2024

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Remaining Useful Life Prediction Based on Incremental Learning

IEEE transactions on reliability, 2024-06, Vol.73 (2), p.876-884

2024

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Global and local information integrated network for remaining useful life prediction

Engineering applications of artificial intelligence, 2023-11, Vol.126, p.106956, Article 106956

2023

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Remaining Useful Life Prediction for Bearings Based on a Gated Recurrent Unit

Remaining Useful Life Prediction for a Nonlinear Heterogeneous Wiener Process Model With an Adaptive Drift

Real-time Reliability Prediction for a Dynamic System Based on the Hidden Degradation Process Identification

A Data-Driven Health Prognostics Approach for Steam Turbines Based on Xgboost and DTW

A value-based preventive maintenance policy for multi-component system with continuously degrading components

Performance of a synthetic resin for lithium adsorption in waste liquid of extracting aluminum from fly-ash

A New Real-Time Reliability Prediction Method for Dynamic Systems Based on On-Line Fault Prediction

Condition Monitoring of Wind Turbine Generators Based on SCADA Data and Feature Transfer Learning

A web-based novel prediction model for predicting depression in elderly patients with coronary heart disease: A multicenter retrospective, propensity-score matched study

Abnormal Condition Monitoring and Diagnosis for Coal Mills Based on Support Vector Regression

A novel three-stage multi-population evolutionary algorithm for constrained multi-objective optimization problems

Performance Degradation Monitoring for Onboard Speed Sensors of Trains

Influence of Inter- and Intra-Batch Variability on the Sample Size Required for Demonstration of Equivalent Microstructure of Semisolid Dosage Forms

A new fault detection method for computer networks

A model for degradation prediction with change point based on Wiener process

Spatio-Temporal Fusion Attention: A Novel Approach for Remaining Useful Life Prediction Based on Graph Neural Network

Remaining useful life prediction for an adaptive skew-Wiener process model

An imperfect maintenance policy for mission-oriented systems subject to degradation and external shocks

A contrastive learning framework enhanced by unlabeled samples for remaining useful life prediction

An Adaptive Condition Monitoring Method of Wind Turbines Based on Multivariate State Estimation Technique and Continual Learning

Incremental Learning Method for Wind Turbine Fault Detection Models Considering False Negatives

Remaining useful life prediction for a hidden wiener process with an adaptive drift

Remaining useful life prediction with uncertainty quantification based on multi-distribution fusion structure

Remaining Useful Life Prediction Based on Incremental Learning

Global and local information integrated network for remaining useful life prediction

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