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

IEEE transactions on instrumentation and measurement, 2024-09, p.1-1

2024

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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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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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Spatio-Temporal Propagation: An Extended Message Passing Graph Neural Network for Remaining Useful Life Prediction

IEEE sensors journal, 2024-06, p.1-1

2024

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Detection method of wheat rust based on transfer learning and sharpness‐aware minimization

Plant pathology, 2023-02, Vol.72 (2), p.353-360

2023

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An optimal design of multi-protocol label switching networks achieving reliability requirements

Reliability engineering & system safety, 2019-02, Vol.182, p.133-141

2019

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A multi-stage quantitative resilience analysis and optimization framework considering dynamic decisions for urban infrastructure systems

Reliability engineering & system safety, 2024-03, Vol.243, p.109851, Article 109851

2024

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A Guided Multiobjective Optimization Method for Attenuation Calibration in Distributed Fiber Sensing

IEEE transactions on instrumentation and measurement, 2024, Vol.73, p.1-12

2024

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Small-Diameter Drug-Eluting Beads-Based Transarterial Chemoemboli-zation (DEB-TACE) for Treating Patients With Esophageal Cancer With Acute Bleeding

The American journal of gastroenterology, 2022-03, Vol.117 (3), p.503-504

2022

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Rice leaf disease detection based on enhanced feature fusion and target adaptation

Plant pathology, 2024-05, Vol.73 (4), p.846-858

2024

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Graph Spatio-Temporal Networks for Condition Monitoring of Wind Turbine

IEEE transactions on sustainable energy, 2024-06, p.1-11

2024

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Incipient Sensor Fault Diagnosis Based on Average Residual-Difference Reconstruction Contribution Plot

Industrial & engineering chemistry research, 2014-05, Vol.53 (18), p.7706-7713

2014

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Selecting the Number of Principal Components on the Basis of Performance Optimization of Fault Detection and Identification

Industrial & engineering chemistry research, 2015-04, Vol.54 (12), p.3145-3153

2015

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

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

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

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

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

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

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

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

Spatio-Temporal Propagation: An Extended Message Passing Graph Neural Network for Remaining Useful Life Prediction

Detection method of wheat rust based on transfer learning and sharpness‐aware minimization

An optimal design of multi-protocol label switching networks achieving reliability requirements

A multi-stage quantitative resilience analysis and optimization framework considering dynamic decisions for urban infrastructure systems

A Guided Multiobjective Optimization Method for Attenuation Calibration in Distributed Fiber Sensing

Small-Diameter Drug-Eluting Beads-Based Transarterial Chemoemboli-zation (DEB-TACE) for Treating Patients With Esophageal Cancer With Acute Bleeding

Rice leaf disease detection based on enhanced feature fusion and target adaptation

Graph Spatio-Temporal Networks for Condition Monitoring of Wind Turbine

Incipient Sensor Fault Diagnosis Based on Average Residual-Difference Reconstruction Contribution Plot

Selecting the Number of Principal Components on the Basis of Performance Optimization of Fault Detection and Identification

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