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Remaining Useful Life Estimation through Deep Learning Partial Differential Equation Models: A Framework for Degradation Dynamics Interpretation Using Latent Variables

Shock and vibration, 2021, Vol.2021, p.1-15

2021

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Health State Prediction and Performance Evaluation of Belt Conveyor Based on Dynamic Bayesian Network in Underground Mining

Shock and vibration, 2021, Vol.2021, p.1-10

2021

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Research on Optimizing Selection and Optimizing Matching Technologies of Aeroengine Fan Rotor Blades

Shock and vibration, 2021, Vol.2021, p.1-17

2021

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Multidomain Feature Fusion for Varying Speed Bearing Diagnosis Using Broad Learning System

Shock and vibration, 2021, Vol.2021, p.1-8

2021

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Parallel-Machine Scheduling with DeJong’s Learning Effect, Delivery Times, Rate-Modifying Activity, and Resource Allocation

Shock and vibration, 2021, Vol.2021, p.1-10

2021

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Investigation of the Cross-Cutting Polycrystalline Diamond Compact Bit Drilling Efficiency

Shock and vibration, 2021, Vol.2021, p.1-15

2021

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Complex Behavior of Droplet Transfer and Spreading in Cold Metal Transfer

Shock and vibration, 2020, Vol.2020, p.1-11

2020

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Research on Quality Anomaly Recognition Method Based on Optimized Probabilistic Neural Network

Shock and vibration, 2020, Vol.2020, p.1-11

2020

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Dynamic maintenance decision-making for series–parallel manufacturing system based on MAM–MTW methodology

European journal of operational research, 2012-08, Vol.221 (1), p.231-240

2012

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Integrated optimization on production scheduling and imperfect preventive maintenance considering multi-degradation and learning-forgetting effects

Flexible services and manufacturing journal, 2022-06, Vol.34 (2), p.451-482

2022

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Preventive Maintenance Strategy Optimization in Manufacturing System Considering Energy Efficiency and Quality Cost

Energies (Basel), 2022-11, Vol.15 (21), p.8237

2022

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Integrated Structural Dependence and Stochastic Dependence for Opportunistic Maintenance of Wind Turbines by Considering Carbon Emissions

Energies (Basel), 2022-01, Vol.15 (2), p.625

2022

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A Novel Health Prognosis Method for a Power System Based on a High-Order Hidden Semi-Markov Model

Energies (Basel), 2021-12, Vol.14 (24), p.8208

2021

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Efficient Energy Use in Manufacturing Systems—Modeling, Assessment, and Management Strategy

Energies (Basel), 2023-01, Vol.16 (3), p.1095

2023

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Operation and Maintenance Optimization for Manufacturing Systems with Energy Management

Energies (Basel), 2022-10, Vol.15 (19), p.7338

2022

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A New Support Vector Regression Model for Equipment Health Diagnosis with Small Sample Data Missing and Its Application

Shock and vibration, 2021, Vol.2021, p.1-11

2021

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Manufacturing paradigm-oriented PHM methodologies for cyber-physical systems

Journal of intelligent manufacturing, 2019-04, Vol.30 (4), p.1659-1672

2019

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A New Maintenance Optimization Model Based on Three-Stage Time Delay for Series Intelligent System with Intermediate Buffer

Shock and vibration, 2021, Vol.2021, p.1-19

2021

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An ensemble framework based on convolutional bi-directional LSTM with multiple time windows for remaining useful life estimation

Computers in industry, 2020-02, Vol.115, p.103182, Article 103182

2020

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Hidden Markov model with auto-correlated observations for remaining useful life prediction and optimal maintenance policy

Reliability engineering & system safety, 2019-04, Vol.184, p.123-136

2019

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A hybrid prognostic method based on gated recurrent unit network and an adaptive Wiener process model considering measurement errors

Mechanical systems and signal processing, 2021-09, Vol.158, p.107785, Article 107785

2021

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Recent advances in prognostics and health management for advanced manufacturing paradigms

Reliability engineering & system safety, 2018-10, Vol.178, p.255-268

2018

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Production-driven opportunistic maintenance for batch production based on MAM–APB scheduling

European journal of operational research, 2015-02, Vol.240 (3), p.781-790

2015

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A novel weak-fault detection technique for rolling element bearing based on vibrational resonance

Journal of sound and vibration, 2019-01, Vol.438, p.490-505

2019

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Adversarial Regressive Domain Adaptation Approach for Infrared Thermography-Based Unsupervised Remaining Useful Life Prediction

IEEE transactions on industrial informatics, 2022-10, Vol.18 (10), p.7219-7229

2022

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Remaining Useful Life Estimation through Deep Learning Partial Differential Equation Models: A Framework for Degradation Dynamics Interpretation Using Latent Variables

Health State Prediction and Performance Evaluation of Belt Conveyor Based on Dynamic Bayesian Network in Underground Mining

Research on Optimizing Selection and Optimizing Matching Technologies of Aeroengine Fan Rotor Blades

Multidomain Feature Fusion for Varying Speed Bearing Diagnosis Using Broad Learning System

Parallel-Machine Scheduling with DeJong’s Learning Effect, Delivery Times, Rate-Modifying Activity, and Resource Allocation

Investigation of the Cross-Cutting Polycrystalline Diamond Compact Bit Drilling Efficiency

Complex Behavior of Droplet Transfer and Spreading in Cold Metal Transfer

Research on Quality Anomaly Recognition Method Based on Optimized Probabilistic Neural Network

Dynamic maintenance decision-making for series–parallel manufacturing system based on MAM–MTW methodology

Integrated optimization on production scheduling and imperfect preventive maintenance considering multi-degradation and learning-forgetting effects

Preventive Maintenance Strategy Optimization in Manufacturing System Considering Energy Efficiency and Quality Cost

Integrated Structural Dependence and Stochastic Dependence for Opportunistic Maintenance of Wind Turbines by Considering Carbon Emissions

A Novel Health Prognosis Method for a Power System Based on a High-Order Hidden Semi-Markov Model

Efficient Energy Use in Manufacturing Systems—Modeling, Assessment, and Management Strategy

Operation and Maintenance Optimization for Manufacturing Systems with Energy Management

A New Support Vector Regression Model for Equipment Health Diagnosis with Small Sample Data Missing and Its Application

Manufacturing paradigm-oriented PHM methodologies for cyber-physical systems

A New Maintenance Optimization Model Based on Three-Stage Time Delay for Series Intelligent System with Intermediate Buffer

An ensemble framework based on convolutional bi-directional LSTM with multiple time windows for remaining useful life estimation

Hidden Markov model with auto-correlated observations for remaining useful life prediction and optimal maintenance policy

A hybrid prognostic method based on gated recurrent unit network and an adaptive Wiener process model considering measurement errors

Recent advances in prognostics and health management for advanced manufacturing paradigms

Production-driven opportunistic maintenance for batch production based on MAM–APB scheduling

A novel weak-fault detection technique for rolling element bearing based on vibrational resonance

Adversarial Regressive Domain Adaptation Approach for Infrared Thermography-Based Unsupervised Remaining Useful Life Prediction

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