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Incipient fault detection for nonlinear processes based on dynamic multi-block probability related kernel principal component analysis

ISA transactions, 2020-10, Vol.105, p.210-220

2020

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Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis

IEEE transaction on neural networks and learning systems, 2018-03, Vol.29 (3), p.560-572

2018

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Two-Step Localized Kernel Principal Component Analysis Based Incipient Fault Diagnosis for Nonlinear Industrial Processes

Industrial & engineering chemistry research, 2020-04, Vol.59 (13), p.5956-5968

2020

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Nonlinear Chemical Process Fault Diagnosis Using Ensemble Deep Support Vector Data Description

Sensors (Basel, Switzerland), 2020-08, Vol.20 (16), p.4599

2020

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Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs

European radiology, 2020-02, Vol.30 (2), p.823-832

2020

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Modified kernel principal component analysis using double-weighted local outlier factor and its application to nonlinear process monitoring

ISA transactions, 2018-01, Vol.72, p.218-228

2018

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Nonlinear process fault pattern recognition using statistics kernel PCA similarity factor

Neurocomputing (Amsterdam), 2013-12, Vol.121, p.298-308

2013

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State-of-Health Prediction For Lithium-Ion Batteries With Multiple Gaussian Process Regression Model

IEEE access, 2019, Vol.7, p.150383-150394

2019

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Boosting‐based cascaded convolutional neural networks for the segmentation of CT organs‐at‐risk in nasopharyngeal carcinoma

Medical Physics, 2019-12, Vol.46 (12), p.5602-5611

2019

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New optimized flux difference schemes for improving high-order weighted compact nonlinear scheme with applications

Applied mathematics and mechanics, 2021-03, Vol.42 (3), p.405-424

English ed., 2021

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A class of hybrid DG/FV methods for conservation laws I: Basic formulation and one-dimensional systems

Journal of computational physics, 2012-02, Vol.231 (4), p.1081-1103

2012

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Geometric conservation law and applications to high-order finite difference schemes with stationary grids

Journal of computational physics, 2011-02, Vol.230 (4), p.1100-1115

2011

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Sparse Kernel Locality Preserving Projection and Its Application in Nonlinear Process Fault Detection

Chinese journal of chemical engineering, 2013-02, Vol.21 (2), p.163-170

2013

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WCNS schemes and some recent developments

Advances in aerodynamics, 2024-01, Vol.6 (1), p.2-17, Article 2

2024

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A class of hybrid DG/FV methods for conservation laws II: Two-dimensional cases

Journal of computational physics, 2012-02, Vol.231 (4), p.1104-1120

2012

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Assessment of alternative scale-providing variables in a Reynolds-stress model using high-order methods

Acta mechanica Sinica, 2022-12, Vol.38 (12), Article 322151

English ed., 2022

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Batch Process Monitoring Based on Multiway Global Preserving Kernel Slow Feature Analysis

IEEE access, 2017, Vol.5, p.2696-2710

2017

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Anomaly detection using improved deep SVDD model with data structure preservation

Pattern recognition letters, 2021-08, Vol.148, p.1-6

2021

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Deep Convolutional Feature-Based Probabilistic SVDD Method for Monitoring Incipient Faults of Batch Process

Energies (Basel), 2021-06, Vol.14 (11), p.3334

2021

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High-order discretization of the Reynolds stress model with an εβ-adaptive algorith

Acta mechanica Sinica, 2022-06, Vol.38 (6), Article 321357

English ed., 2022

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An implicit parallel UGKS solver for flows covering various regimes

Advances in aerodynamics, 2019-03, Vol.1 (1), p.8-24, Article 8

2019

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Soft Sensor Modeling for Unobserved Multimode Nonlinear Processes Based on Modified Kernel Partial Least Squares With Latent Factor Clustering

IEEE access, 2020, Vol.8, p.35864-35872

2020

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Mechanical Properties and Optimization Analysis on Battery Box with Honeycomb Sandwich Composite Structure

International Journal of Automotive Technology, 2023, 24(1), 131, pp.1-14

2023

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A New ϵ-Adaptive Algorithm for Improving Weighted Compact Nonlinear Scheme with Applications

Aerospace, 2022-07, Vol.9 (7), p.369

2022

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Gross Tumor Volume Predicts Survival and Pathological Complete Response of Locally Advanced Esophageal Cancer After Neoadjuvant Chemoradiotherapy

Frontiers in oncology, 2022-06, Vol.12, p.898383-898383

2022

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Incipient fault detection for nonlinear processes based on dynamic multi-block probability related kernel principal component analysis

Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis

Two-Step Localized Kernel Principal Component Analysis Based Incipient Fault Diagnosis for Nonlinear Industrial Processes

Nonlinear Chemical Process Fault Diagnosis Using Ensemble Deep Support Vector Data Description

Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs

Modified kernel principal component analysis using double-weighted local outlier factor and its application to nonlinear process monitoring

Nonlinear process fault pattern recognition using statistics kernel PCA similarity factor

State-of-Health Prediction For Lithium-Ion Batteries With Multiple Gaussian Process Regression Model

Boosting‐based cascaded convolutional neural networks for the segmentation of CT organs‐at‐risk in nasopharyngeal carcinoma

New optimized flux difference schemes for improving high-order weighted compact nonlinear scheme with applications

A class of hybrid DG/FV methods for conservation laws I: Basic formulation and one-dimensional systems

Geometric conservation law and applications to high-order finite difference schemes with stationary grids

Sparse Kernel Locality Preserving Projection and Its Application in Nonlinear Process Fault Detection

WCNS schemes and some recent developments

A class of hybrid DG/FV methods for conservation laws II: Two-dimensional cases

Assessment of alternative scale-providing variables in a Reynolds-stress model using high-order methods

Batch Process Monitoring Based on Multiway Global Preserving Kernel Slow Feature Analysis

Anomaly detection using improved deep SVDD model with data structure preservation

Deep Convolutional Feature-Based Probabilistic SVDD Method for Monitoring Incipient Faults of Batch Process

High-order discretization of the Reynolds stress model with an εβ-adaptive algorith

An implicit parallel UGKS solver for flows covering various regimes

Soft Sensor Modeling for Unobserved Multimode Nonlinear Processes Based on Modified Kernel Partial Least Squares With Latent Factor Clustering

Mechanical Properties and Optimization Analysis on Battery Box with Honeycomb Sandwich Composite Structure

A New ϵ-Adaptive Algorithm for Improving Weighted Compact Nonlinear Scheme with Applications

Gross Tumor Volume Predicts Survival and Pathological Complete Response of Locally Advanced Esophageal Cancer After Neoadjuvant Chemoradiotherapy

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