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A Risk-Averse Remaining Useful Life Estimation for Predictive Maintenance

IEEE/CAA journal of automatica sinica, 2021-02, Vol.8 (2), p.412-422

2021

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An AVMD-DBN-ELM Model for Bearing Fault Diagnosis

Sensors (Basel, Switzerland), 2022-12, Vol.22 (23), p.9369

2022

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Deep Auto-Encoder and Deep Forest-Assisted Failure Prognosis for Dynamic Predictive Maintenance Scheduling

Sensors (Basel, Switzerland), 2021-12, Vol.21 (24), p.8373

2021

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A Multi-mode Incipient Sensor Fault Detection and Diagnosis Method for Electrical Traction Systems

International Journal of Control, 2018, Automation, and Systems, 16(4), , pp.1783-1793

2018

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Condition-based maintenance optimization for continuously monitored degrading systems under imperfect maintenance actions

Journal of systems engineering and electronics, 2020-08, Vol.31 (4), p.841-851

2020

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Applications and Modeling Techniques of Wind Turbine Power Curve for Wind Farms—A Review

Energies (Basel), 2023-01, Vol.16 (1), p.180

2023

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Stage-based soft-transition multiple PCA modeling and on-line monitoring strategy for batch processes

Journal of process control, 2007-10, Vol.17 (9), p.728-741

2007

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Dynamic Long Short-Term Memory Neural-Network- Based Indirect Remaining-Useful-Life Prognosis for Satellite Lithium-Ion Battery

Applied sciences, 2018-11, Vol.8 (11), p.2078

2018

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Multi-mode kernel principal component analysis–based incipient fault detection for pulse width modulated inverter of China Railway High-speed 5

Advances in mechanical engineering, 2017-10, Vol.9 (10), p.168781401772738

2017

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Attention mechanism based multi-scale feature extraction of bearing fault diagnosis

Journal of systems engineering and electronics, 2023-10, Vol.34 (5), p.1359-1367

2023

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Event-Triggered Collaborative Fault Diagnosis for UAV–UGV Systems

Drones (Basel), 2024-07, Vol.8 (7), p.324

2024

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A telemetry data based diagnostic health monitoring strategy for in-orbit spacecrafts with component degradation

Advances in mechanical engineering, 2019-04, Vol.11 (4), p.168781401983959

2019

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Stage-Based Process Analysis and Quality Prediction for Batch Processes

Industrial & engineering chemistry research, 2005-05, Vol.44 (10), p.3547-3555

2005

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Data-Driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains

1st Edition 2020, 2020

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Useful life prediction using a stochastic hybrid automata model for an ACS multi-gyro subsystem

Journal of systems engineering and electronics, 2019-02, Vol.30 (1), p.154-166

2019

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Sub-PCA modeling and on-line monitoring strategy for batch processes

AIChE journal, 2004-01, Vol.50 (1), p.255-259

2004

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Two-dimensional dynamic PCA for batch process monitoring

AIChE journal, 2005-12, Vol.51 (12), p.3300-3304

2005

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Quality prediction based on phase-specific average trajectory for batch processes

AIChE journal, 2008-03, Vol.54 (3), p.693-705

2008

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Injection Molding Process Control, Monitoring, and Optimization

1, 2016

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A Descriptor System Approach for Estimation of Incipient Faults With Application to High-Speed Railway Traction Devices

IEEE transactions on systems, man, and cybernetics. Systems, 2019-10, Vol.49 (10), p.2108-2118

2019

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Deep PCA Based Real-Time Incipient Fault Detection and Diagnosis Methodology for Electrical Drive in High-Speed Trains

IEEE transactions on vehicular technology, 2018-06, Vol.67 (6), p.4819-4830

2018

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Improved Batch Process Monitoring and Quality Prediction Based on Multiphase Statistical Analysis

Industrial & engineering chemistry research, 2008-02, Vol.47 (3), p.835-849

2008

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A Newly Robust Fault Detection and Diagnosis Method for High-Speed Trains

IEEE transactions on intelligent transportation systems, 2019-06, Vol.20 (6), p.2198-2208

2019

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An improved incipient fault detection method based on Kullback-Leibler divergence

ISA transactions, 2018-08, Vol.79, p.127-136

2018

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Digital twin-assisted enhanced meta-transfer learning for rolling bearing fault diagnosis

Mechanical systems and signal processing, 2023-10, Vol.200, p.110490, Article 110490

2023

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A Risk-Averse Remaining Useful Life Estimation for Predictive Maintenance

An AVMD-DBN-ELM Model for Bearing Fault Diagnosis

Deep Auto-Encoder and Deep Forest-Assisted Failure Prognosis for Dynamic Predictive Maintenance Scheduling

A Multi-mode Incipient Sensor Fault Detection and Diagnosis Method for Electrical Traction Systems

Condition-based maintenance optimization for continuously monitored degrading systems under imperfect maintenance actions

Applications and Modeling Techniques of Wind Turbine Power Curve for Wind Farms—A Review

Stage-based soft-transition multiple PCA modeling and on-line monitoring strategy for batch processes

Dynamic Long Short-Term Memory Neural-Network- Based Indirect Remaining-Useful-Life Prognosis for Satellite Lithium-Ion Battery

Multi-mode kernel principal component analysis–based incipient fault detection for pulse width modulated inverter of China Railway High-speed 5

Attention mechanism based multi-scale feature extraction of bearing fault diagnosis

Event-Triggered Collaborative Fault Diagnosis for UAV–UGV Systems

A telemetry data based diagnostic health monitoring strategy for in-orbit spacecrafts with component degradation

Stage-Based Process Analysis and Quality Prediction for Batch Processes

Data-Driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains

Useful life prediction using a stochastic hybrid automata model for an ACS multi-gyro subsystem

Sub-PCA modeling and on-line monitoring strategy for batch processes

Two-dimensional dynamic PCA for batch process monitoring

Quality prediction based on phase-specific average trajectory for batch processes

Injection Molding Process Control, Monitoring, and Optimization

A Descriptor System Approach for Estimation of Incipient Faults With Application to High-Speed Railway Traction Devices

Deep PCA Based Real-Time Incipient Fault Detection and Diagnosis Methodology for Electrical Drive in High-Speed Trains

Improved Batch Process Monitoring and Quality Prediction Based on Multiphase Statistical Analysis

A Newly Robust Fault Detection and Diagnosis Method for High-Speed Trains

An improved incipient fault detection method based on Kullback-Leibler divergence

Digital twin-assisted enhanced meta-transfer learning for rolling bearing fault diagnosis

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