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Monitoring Nonlinear and Non-Gaussian Processes Using Gaussian Mixture Model-Based Weighted Kernel Independent Component Analysis

IEEE transaction on neural networks and learning systems, 2017-01, Vol.28 (1), p.122-135

2017

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A process monitoring method based on noisy independent component analysis

Neurocomputing (Amsterdam), 2014-03, Vol.127, p.231-246

2014

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A Semi-Empirical State of Health Estimation Method for Batteries of Electric Vehicles Operating in Varying Real-World Conditions

IEEE access, 2024, Vol.12, p.147156-147166

2024

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Process fault detection based on dynamic kernel slow feature analysis

Computers & electrical engineering, 2015-01, Vol.41, p.9-17

2015

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Real-Time Detection of Power System Disturbances Based on k -Nearest Neighbor Analysis

IEEE access, 2017, Vol.5, p.5631-5639

2017

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A new process monitoring method based on noisy time structure independent component analysis

Chinese journal of chemical engineering, 2015, Vol.23 (1), p.162-172

2015

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A local and global statistics pattern analysis method and its application to process fault identification

Chinese journal of chemical engineering, 2015-11, Vol.23 (11), p.1782-1792

2015

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A new fault detection method for non-Gaussian process based on robust independent component analysis

Process safety and environmental protection, 2014-11, Vol.92 (6), p.645-658

2014

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Wide-Area Monitoring of Power Systems Using Principal Component Analysis and k-Nearest Neighbor Analysis

IEEE transactions on power systems, 2018-09, Vol.33 (5), p.4913-4923

2018

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FIM-Based Pairwise Selection for Active Learning on Imbalanced Datasets

2015 IEEE International Conference on Systems, Man, and Cybernetics, 2015, p.1876-1881

2015

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Multivariate Detection of Power System Disturbances Based on Fourth Order Moment and Singular Value Decomposition

IEEE transactions on power systems, 2017-11, Vol.32 (6), p.4289-4297

2017

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Noise-resistant joint diagonalization independent component analysis based process fault detection

Neurocomputing (Amsterdam), 2015-02, Vol.149, p.652-666

2015

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Wide-Area Monitoring of Power Systems Using Principal Component Analysis and [Formula Omitted]-Nearest Neighbor Analysis

IEEE transactions on power systems, 2018-09, Vol.33 (5), p.4913

2018

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A Test Model of a Power Grid With Battery Energy Storage and Wide-Area Monitoring

IEEE transactions on power systems, 2019-01, Vol.34 (1), p.380-390

2019

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A Kernel Time Structure Independent Component Analysis Method for Nonlinear Process Monitoring

Chinese journal of chemical engineering, 2014-11, Vol.22 (11-12), p.1243-1253

2014

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A Test Model of a Power Grid With Battery Energy Storage and Wide-Area Monitoring

2020 IEEE Power & Energy Society General Meeting (PESGM), 2020, p.1-1

2020

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A new soft sensor method for dynamic processes based on dynamic orthogonal forward regression

The 27th Chinese Control and Decision Conference (2015 CCDC), 2015, p.536-541

2015

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Improved post-nonlinear independent component analysis method based on Gaussian Mixture Model

The Fourth International Workshop on Advanced Computational Intelligence, 2011, p.274-279

2011

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Dynamic process monitoring based on orthogonal locality preserving projections and exponentially weighted moving average

2013 25th Chinese Control and Decision Conference (CCDC), 2013, p.4337-4342

2013

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Nonlinear Process Fault Diagnosis Using Kernel Slow Feature Discriminant Analysis

IFAC-PapersOnLine, 2015, Vol.48 (21), p.607-612

2015

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A Multi-index Control Performance Assessment Method Based on Historical Prediction Error Covariance

IFAC-PapersOnLine, 2017-07, Vol.50 (1), p.13892-13897

2017

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Process Fault Detection Method Based on Time Structure Independent Component Analysis and One-Class Support Vector Machine

IFAC-PapersOnLine, 2015, Vol.48 (21), p.1198-1203

2015

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Minimum mean squared prediction error criterion based improved independent component analysis method for process monitoring

IFAC Proceedings Volumes, 2013-12, Vol.46 (32), p.583-588

2013

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Nonlinear process fault diagnosis using kernel ICA and improved FDA

IFAC Proceedings Volumes, 2013, Vol.46 (11), p.736-741

2013

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Novel Discoveries Targeting Pathogenic Gut Microbes and New Therapies in Pancreatic Cancer: Does Pathogenic E. coli Infection Cause Pancreatic Cancer Progression Modulated by TUBB/Rho/ROCK Signaling Pathway? A Bioinformatic Analysis

BioMed research international, 2020, Vol.2020 (2020), p.1-12

2020

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Monitoring Nonlinear and Non-Gaussian Processes Using Gaussian Mixture Model-Based Weighted Kernel Independent Component Analysis

A process monitoring method based on noisy independent component analysis

A Semi-Empirical State of Health Estimation Method for Batteries of Electric Vehicles Operating in Varying Real-World Conditions

Process fault detection based on dynamic kernel slow feature analysis

Real-Time Detection of Power System Disturbances Based on k -Nearest Neighbor Analysis

A new process monitoring method based on noisy time structure independent component analysis

A local and global statistics pattern analysis method and its application to process fault identification

A new fault detection method for non-Gaussian process based on robust independent component analysis

Wide-Area Monitoring of Power Systems Using Principal Component Analysis and k-Nearest Neighbor Analysis

FIM-Based Pairwise Selection for Active Learning on Imbalanced Datasets

Multivariate Detection of Power System Disturbances Based on Fourth Order Moment and Singular Value Decomposition

Noise-resistant joint diagonalization independent component analysis based process fault detection

Wide-Area Monitoring of Power Systems Using Principal Component Analysis and [Formula Omitted]-Nearest Neighbor Analysis

A Test Model of a Power Grid With Battery Energy Storage and Wide-Area Monitoring

A Kernel Time Structure Independent Component Analysis Method for Nonlinear Process Monitoring

A Test Model of a Power Grid With Battery Energy Storage and Wide-Area Monitoring

A new soft sensor method for dynamic processes based on dynamic orthogonal forward regression

Improved post-nonlinear independent component analysis method based on Gaussian Mixture Model

Dynamic process monitoring based on orthogonal locality preserving projections and exponentially weighted moving average

Nonlinear Process Fault Diagnosis Using Kernel Slow Feature Discriminant Analysis

A Multi-index Control Performance Assessment Method Based on Historical Prediction Error Covariance

Process Fault Detection Method Based on Time Structure Independent Component Analysis and One-Class Support Vector Machine

Minimum mean squared prediction error criterion based improved independent component analysis method for process monitoring

Nonlinear process fault diagnosis using kernel ICA and improved FDA

Novel Discoveries Targeting Pathogenic Gut Microbes and New Therapies in Pancreatic Cancer: Does Pathogenic E. coli Infection Cause Pancreatic Cancer Progression Modulated by TUBB/Rho/ROCK Signaling Pathway? A Bioinformatic Analysis

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