标题
A Review of Kernel Methods for Feature Extraction in Nonlinear Process Monitoring
作者
关键词
-
出版物
Processes
Volume 8, Issue 1, Pages 24
出版商
MDPI AG
发表日期
2019-12-24
DOI
10.3390/pr8010024
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Incipient fault detection for chemical processes using two-dimensional weighted SLKPCA
- (2019) Xiaogang Deng et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- A review of data-driven fault detection and diagnosis methods: applications in chemical process systems
- (2019) Norazwan Md Nor et al. REVIEWS IN CHEMICAL ENGINEERING
- Deep neural-kernel blocks
- (2019) Siamak Mehrkanoon NEURAL NETWORKS
- Supervised process monitoring and fault diagnosis based on machine learning methods
- (2019) Hajer Lahdhiri et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Applications of Advanced Analytics at Saudi Aramco: A Practitioners’ Perspective
- (2019) Rohit Patwardhan et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Hybrid fault characteristics decomposition based probabilistic distributed fault diagnosis for large-scale industrial processes
- (2019) Wenqing Li et al. CONTROL ENGINEERING PRACTICE
- Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming
- (2019) Chao Ning et al. COMPUTERS & CHEMICAL ENGINEERING
- Improved nonlinear process monitoring based on ensemble KPCA with local structure analysis
- (2019) Ping Cui et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Data-driven methods for batch data analysis – A critical overview and mapping on the complexity scale
- (2019) Ricardo Rendall et al. COMPUTERS & CHEMICAL ENGINEERING
- Randomized KPCA for Modeling and Monitoring of Nonlinear Industrial Processes with Massive Data
- (2019) Zhe Zhou et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Simultaneous fault detection and isolation using semi-supervised kernel nonnegative matrix factorization
- (2019) Lirong Zhai et al. CANADIAN JOURNAL OF CHEMICAL ENGINEERING
- Data-driven monitoring of multimode continuous processes: A review
- (2019) Marcos Quiñones-Grueiro et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Advances and opportunities in machine learning for process data analytics
- (2019) S. Joe Qin et al. COMPUTERS & CHEMICAL ENGINEERING
- Online reduced kernel GLRT technique for improved fault detection in photovoltaic systems
- (2019) R. Fezai et al. ENERGY
- A Fault Detection Method Based on CPSO-Improved KICA
- (2019) Mingguang Liu et al. Entropy
- Review and Perspectives of Data-Driven Distributed Monitoring for Industrial Plant-Wide Processes
- (2019) Qingchao Jiang et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- A heterogeneous benchmark dataset for data analytics: Multiphase flow facility case study
- (2019) Anna Stief et al. JOURNAL OF PROCESS CONTROL
- Fault detection of uncertain nonlinear process using interval-valued data-driven approach
- (2019) M.-F. Harkat et al. CHEMICAL ENGINEERING SCIENCE
- Nonlinear process monitoring using kernel dictionary learning with application to aluminum electrolysis process
- (2019) Keke Huang et al. CONTROL ENGINEERING PRACTICE
- Accelerated Kernel Canonical Correlation Analysis with Fault Relevance for Nonlinear Process Fault Isolation
- (2019) Jiaxin Yu et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Multi-scale kernel Fisher discriminant analysis with adaptive neuro-fuzzy inference system (ANFIS) in fault detection and diagnosis framework for chemical process systems
- (2019) Norazwan Md Nor et al. NEURAL COMPUTING & APPLICATIONS
- Online reduced kernel PLS combined with GLRT for fault detection in chemical systems
- (2019) R. Fazai et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- Grandmaster level in StarCraft II using multi-agent reinforcement learning
- (2019) Oriol Vinyals et al. NATURE
- Performance-relevant kernel independent component analysis based operating performance assessment for nonlinear and non-Gaussian industrial processes
- (2019) Yan Liu et al. CHEMICAL ENGINEERING SCIENCE
- Fault detection and identification combining process measurements and statistical alarms
- (2019) Matthieu Lucke et al. CONTROL ENGINEERING PRACTICE
- A Novel Hierarchical Detection and Isolation Framework for Quality-Related Multiple Faults in Large-Scale Processes
- (2019) Liang Ma et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Nonstationary Discrete Convolution Kernel for Multimodal Process Monitoring
- (2019) Ruomu Tan et al. IEEE Transactions on Neural Networks and Learning Systems
- Development of a Real-Time Objective Gas–Liquid Flow Regime Identifier Using Kernel Methods
- (2019) Edem Nsefik Eyo et al. IEEE Transactions on Cybernetics
- Survey on the theoretical research and engineering applications of multivariate statistics process monitoring algorithms: 2008-2017
- (2018) Youqing Wang et al. CANADIAN JOURNAL OF CHEMICAL ENGINEERING
- Ensemble deep kernel learning with application to quality prediction in industrial polymerization processes
- (2018) Yi Liu et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- HSIC-based kernel independent component analysis for fault monitoring
- (2018) Lin Feng et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Online complex nonlinear industrial process operating optimality assessment using modified robust total kernel partial M-regression
- (2018) Fei Chu et al. CHINESE JOURNAL OF CHEMICAL ENGINEERING
- Locality preserving discriminative canonical variate analysis for fault diagnosis
- (2018) Qiugang Lu et al. COMPUTERS & CHEMICAL ENGINEERING
- Fault detection based on augmented kernel Mahalanobis distance for nonlinear dynamic processes
- (2018) Jun Shang et al. COMPUTERS & CHEMICAL ENGINEERING
- Machine learning: Overview of the recent progresses and implications for the process systems engineering field
- (2018) Jay H. Lee et al. COMPUTERS & CHEMICAL ENGINEERING
- Linearity Evaluation and Variable Subset Partition Based Hierarchical Process Modeling and Monitoring
- (2018) Wenqing Li et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Canonical Variate Dissimilarity Analysis for Process Incipient Fault Detection
- (2018) Karl Ezra Salgado Pilario et al. IEEE Transactions on Industrial Informatics
- Deviation Contribution Plots of Multivariate Statistics
- (2018) Ruomu Tan et al. IEEE Transactions on Industrial Informatics
- Integration of Data-Level Fusion Model and Kernel Methods for Degradation Modeling and Prognostic Analysis
- (2018) Changyue Song et al. IEEE TRANSACTIONS ON RELIABILITY
- Incipient Fault Detection for Complex Industrial Processes with Stationary and Nonstationary Hybrid Characteristics
- (2018) Chunhui Zhao et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- A bibliometric review and analysis of data-driven fault detection and diagnosis methods for process systems
- (2018) Md Alauddin et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Relevant and independent multi-block approach for plant-wide process and quality-related monitoring based on KPCA and SVDD
- (2018) Junping Huang et al. ISA TRANSACTIONS
- Batch process fault detection and identification based on discriminant global preserving kernel slow feature analysis
- (2018) Hanyuan Zhang et al. ISA TRANSACTIONS
- Modified kernel principal component analysis using double-weighted local outlier factor and its application to nonlinear process monitoring
- (2018) Xiaogang Deng et al. ISA TRANSACTIONS
- Online reduced kernel principal component analysis for process monitoring
- (2018) Radhia Fezai et al. JOURNAL OF PROCESS CONTROL
- Dynamic concurrent kernel CCA for strip-thickness relevant fault diagnosis of continuous annealing processes
- (2018) Qiang Liu et al. JOURNAL OF PROCESS CONTROL
- Sensor fault detection and isolation of an industrial gas turbine using partial adaptive KPCA
- (2018) Mania Navi et al. JOURNAL OF PROCESS CONTROL
- Distributed predictive modeling framework for prediction and diagnosis of key performance index in plant-wide processes
- (2018) Zhiqiang Ge JOURNAL OF PROCESS CONTROL
- Deep hybrid neural-kernel networks using random Fourier features
- (2018) Siamak Mehrkanoon et al. NEUROCOMPUTING
- Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis
- (2018) Xiaogang Deng et al. IEEE Transactions on Neural Networks and Learning Systems
- Fault Detection Based on Modified Kernel Semi-Supervised Locally Linear Embedding
- (2018) Yingwei Zhang et al. IEEE Access
- Nonlinear Fault Detection Based on An Improved Kernel Approach
- (2018) Guang Wang et al. IEEE Access
- Parallel PCA–KPCA for nonlinear process monitoring
- (2018) Qingchao Jiang et al. CONTROL ENGINEERING PRACTICE
- Quality-Driven Principal Component Analysis Combined With Kernel Least Squares for Multivariate Statistical Process Monitoring
- (2018) Junping Huang et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Deep Principal Component Analysis Based on Layerwise Feature Extraction and Its Application to Nonlinear Process Monitoring
- (2018) Xiaogang Deng et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Efficient Nonlinear Fault Diagnosis Based on Kernel Sample Equivalent Replacement
- (2018) Guang Wang et al. IEEE Transactions on Industrial Informatics
- Online fault detection and isolation of an AIR quality monitoring network based on machine learning and metaheuristic methods
- (2018) Radhia Fazai et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Diagnosis of uncertain nonlinear systems using interval kernel principal components analysis: Application to a weather station
- (2018) Chouaib Chakour et al. ISA TRANSACTIONS
- The promise of artificial intelligence in chemical engineering: Is it here, finally?
- (2018) Venkat Venkatasubramanian AICHE JOURNAL
- Nonlinear fault detection of batch processes based on functional kernel locality preserving projections
- (2018) Fei He et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Kernel Generalized Likelihood Ratio Test for Fault Detection of Biological Systems
- (2018) Majdi Mansouri et al. IEEE TRANSACTIONS ON NANOBIOSCIENCE
- Monitoring of quality-relevant and quality-irrelevant blocks with characteristic-similar variables based on self-organizing map and kernel approaches
- (2018) Shifu Yan et al. JOURNAL OF PROCESS CONTROL
- New online kernel method with the Tabu search algorithm for process monitoring
- (2018) Hajer Lahdhiri et al. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
- Mixed kernel canonical variate dissimilarity analysis for incipient fault monitoring in nonlinear dynamic processes
- (2018) Karl Ezra S. Pilario et al. COMPUTERS & CHEMICAL ENGINEERING
- Comprehensive Correlation Analysis of Industrial Process
- (2017) Yingwei Zhang et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Quality Relevant and Independent Two Block Monitoring Based on Mutual Information and KPCA
- (2017) Junping Huang et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- A Kernel Least Squares Based Approach for Nonlinear Quality-Related Fault Detection
- (2017) Guang Wang et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- A Novel Framework for Fault Diagnosis Using Kernel Partial Least Squares Based on an Optimal Preference Matrix
- (2017) Jun Yi et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- A Kernel Direct Decomposition-Based Monitoring Approach for Nonlinear Quality-Related Fault Detection
- (2017) Guang Wang et al. IEEE Transactions on Industrial Informatics
- Improved Statistical Fault Detection Technique and Application to Biological Phenomena Modeled by S-Systems
- (2017) Majdi Mansouri et al. IEEE TRANSACTIONS ON NANOBIOSCIENCE
- Root Cause Diagnosis of Process Fault Using KPCA and Bayesian Network
- (2017) H. Gharahbagheri et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Novel Multidimensional Feature Pattern Classification Method and Its Application to Fault Diagnosis
- (2017) Qun-Xiong Zhu et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- A new fault detection index based on Mahalanobis distance and kernel method
- (2017) Hajer Lahdhiri et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A nonlinear quality-related fault detection approach based on modified kernel partial least squares
- (2017) Jianfang Jiao et al. ISA TRANSACTIONS
- Online diagnostics of time-varying nonlinear chemical processes using moving window kernel principal component analysis and Fisher discriminant analysis
- (2017) M. R. Galiaskarov et al. JOURNAL OF CHEMOMETRICS
- Nearest neighbor difference rule-based kernel principal component analysis for fault detection in semiconductor manufacturing processes
- (2017) Cheng Zhang et al. JOURNAL OF CHEMOMETRICS
- Fault diagnosis of non-Gaussian process based on FKICA
- (2017) Wenyou Du et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Nonlinear process monitoring based on new reduced Rank-KPCA method
- (2017) Hajer Lahdhiri et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Big Data Analytics in Chemical Engineering
- (2017) Leo Chiang et al. Annual Review of Chemical and Biomolecular Engineering
- Monitoring Nonlinear and Non-Gaussian Processes Using Gaussian Mixture Model-Based Weighted Kernel Independent Component Analysis
- (2017) Lianfang Cai et al. IEEE Transactions on Neural Networks and Learning Systems
- Nonlinear Multimode Industrial Process Fault Detection Using Modified Kernel Principal Component Analysis
- (2017) Xiaogang Deng et al. IEEE Access
- Data Mining and Analytics in the Process Industry: The Role of Machine Learning
- (2017) Zhiqiang Ge et al. IEEE Access
- Batch Process Monitoring Based on Multiway Global Preserving Kernel Slow Feature Analysis
- (2017) Hanyuan Zhang et al. IEEE Access
- Industrial Process Monitoring in the Big Data/Industry 4.0 Era: from Detection, to Diagnosis, to Prognosis
- (2017) Marco Reis et al. Processes
- Block adaptive kernel principal component analysis for nonlinear process monitoring
- (2016) Lei Xie et al. AICHE JOURNAL
- Perspectives on process monitoring of industrial systems
- (2016) Kristen Severson et al. ANNUAL REVIEWS IN CONTROL
- Bridging data-driven and model-based approaches for process fault diagnosis and health monitoring: A review of researches and future challenges
- (2016) Khaoula Tidriri et al. ANNUAL REVIEWS IN CONTROL
- Quality-related fault detection approach based on dynamic kernel partial least squares
- (2016) Qilong Jia et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Enhanced dynamic approach to improve the detection of small-magnitude faults
- (2016) J.M. Bernal-de-Lázaro et al. CHEMICAL ENGINEERING SCIENCE
- Performance-driven optimal design of distributed monitoring for large-scale nonlinear processes
- (2016) Qingchao Jiang et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Multivariate time delay analysis based local KPCA fault prognosis approach for nonlinear processes
- (2016) Yuan Xu et al. CHINESE JOURNAL OF CHEMICAL ENGINEERING
- Abnormal situation management: Challenges and opportunities in the big data era
- (2016) Yidan Shu et al. COMPUTERS & CHEMICAL ENGINEERING
- Canonical variate analysis for performance degradation under faulty conditions
- (2016) C. Ruiz-Cárcel et al. CONTROL ENGINEERING PRACTICE
- Nonlinear Process Monitoring Using Regression and Reconstruction Method
- (2016) Yingwei Zhang et al. IEEE Transactions on Automation Science and Engineering
- Comprehensive monitoring of nonlinear processes based on concurrent kernel projection to latent structures
- (2016) Ning Sheng et al. IEEE Transactions on Automation Science and Engineering
- Fault Diagnosis Method of Joint Fisher Discriminant Analysis Based on the Local and Global Manifold Learning and Its Kernel Version
- (2016) Jian Feng et al. IEEE Transactions on Automation Science and Engineering
- A Quality-Based Nonlinear Fault Diagnosis Framework Focusing on Industrial Multimode Batch Processes
- (2016) Kaixiang Peng et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Semisupervised Kernel Learning for FDA Model and its Application for Fault Classification in Industrial Processes
- (2016) Zhiqiang Ge et al. IEEE Transactions on Industrial Informatics
- A new fault detection method for nonlinear process monitoring
- (2016) Radhia Fazai et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Kernel principal component analysis with reduced complexity for nonlinear dynamic process monitoring
- (2016) Ines Jaffel et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Moving window KPCA with reduced complexity for nonlinear dynamic process monitoring
- (2016) Ines Jaffel et al. ISA TRANSACTIONS
- Semi-supervised kernel partial least squares fault detection and identification approach with application to HGPWLTP
- (2016) Qilong Jia et al. JOURNAL OF CHEMOMETRICS
- Kernel PCA-based GLRT for nonlinear fault detection of chemical processes
- (2016) Majdi Mansouri et al. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
- Kernel PLS-based GLRT method for fault detection of chemical processes
- (2016) Chiranjivi Botre et al. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
- Related and independent variable fault detection based on KPCA and SVDD
- (2016) Jian Huang et al. JOURNAL OF PROCESS CONTROL
- Distributed monitoring for large-scale processes based on multivariate statistical analysis and Bayesian method
- (2016) Qingchao Jiang et al. JOURNAL OF PROCESS CONTROL
- Nonlinear process monitoring based on kernel global–local preserving projections
- (2016) Lijia Luo et al. JOURNAL OF PROCESS CONTROL
- Quality-related fault detection using linear and nonlinear principal component regression
- (2016) Guang Wang et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Combination of process and vibration data for improved condition monitoring of industrial systems working under variable operating conditions
- (2016) C. Ruiz-Cárcel et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Recent advances on SVM based fault diagnosis and process monitoring in complicated industrial processes
- (2016) Zuyu Yin et al. NEUROCOMPUTING
- Fault detection and isolation in nonlinear systems with partial Reduced Kernel Principal Component Analysis method
- (2016) Ines Jaffel et al. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
- Scale-sifting multiscale nonlinear process quality monitoring and fault detection
- (2015) Yang Liu et al. CANADIAN JOURNAL OF CHEMICAL ENGINEERING
- Fault diagnosis of nonlinear process based on KCPLS reconstruction
- (2015) Yingwei Zhang et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Monitoring of chemical industrial processes using integrated complex network theory with PCA
- (2015) E. Cai et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Fault detection of batch processes based on multivariate functional kernel principal component analysis
- (2015) Huangang Wang et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Pseudo-sample based contribution plots: innovative tools for fault diagnosis in kernel-based batch process monitoring
- (2015) Raffaele Vitale et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Phase division and process monitoring for multiphase batch processes with transitions
- (2015) Xiaochu Tang et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Process fault detection based on dynamic kernel slow feature analysis
- (2015) Ni Zhang et al. COMPUTERS & ELECTRICAL ENGINEERING
- Optimizing kernel methods to reduce dimensionality in fault diagnosis of industrial systems
- (2015) José Manuel Bernal de Lázaro et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Statistical process monitoring of a multiphase flow facility
- (2015) C. Ruiz-Cárcel et al. CONTROL ENGINEERING PRACTICE
- Fault diagnosis of multimode processes based on similarities
- (2015) Yingwei Zhang et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Data-Based Techniques Focused on Modern Industry: An Overview
- (2015) Shen Yin et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Nonlinear Process Monitoring Using Data-Dependent Kernel Global–Local Preserving Projections
- (2015) Lijia Luo et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Process Fault Detection Using Directional Kernel Partial Least Squares
- (2015) Yingwei Zhang et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- New fault detection method based on reduced kernel principal component analysis (RKPCA)
- (2015) Okba Taouali et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Nonlinear plant-wide process monitoring using MI-spectral clustering and Bayesian inference-based multiblock KPCA
- (2015) Qingchao Jiang et al. JOURNAL OF PROCESS CONTROL
- On-line monitoring of batch processes using generalized additive kernel principal component analysis
- (2015) Ma Yao et al. JOURNAL OF PROCESS CONTROL
- Canonical variate analysis-based contributions for fault identification
- (2015) Benben Jiang et al. JOURNAL OF PROCESS CONTROL
- A review on prognostic techniques for non-stationary and non-linear rotating systems
- (2015) Man Shan Kan et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Multi-apartment residential microgrid monitoring system based on kernel canonical variate analysis
- (2015) Lucio Ciabattoni et al. NEUROCOMPUTING
- Employment of Kernel Methods on Wind Turbine Power Performance Assessment
- (2015) Georgios Alexandros Skrimpas et al. IEEE Transactions on Sustainable Energy
- Process data analytics in the era of big data
- (2014) S. Joe Qin AICHE JOURNAL
- Output-relevant fault detection and identification of chemical process based on hybrid kernel T-PLS
- (2014) Xiaoqiang Zhao et al. CANADIAN JOURNAL OF CHEMICAL ENGINEERING
- New contributions to non-linear process monitoring through kernel partial least squares
- (2014) José L. Godoy et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- A Kernel Time Structure Independent Component Analysis Method for Nonlinear Process Monitoring
- (2014) Lianfang Cai et al. CHINESE JOURNAL OF CHEMICAL ENGINEERING
- Improved Kernel PLS-based Fault Detection Approach for Nonlinear Chemical Processes
- (2014) Li WANG et al. CHINESE JOURNAL OF CHEMICAL ENGINEERING
- Fault Isolation of Nonlinear Processes Based on Fault Directions and Features
- (2014) Yingwei Zhang et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- A Review on Basic Data-Driven Approaches for Industrial Process Monitoring
- (2014) Shen Yin et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Ensemble Kernel Principal Component Analysis for Improved Nonlinear Process Monitoring
- (2014) Nan Li et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Plant-wide process monitoring based on mutual information–multiblock principal component analysis
- (2014) Qingchao Jiang et al. ISA TRANSACTIONS
- A kernel-based approach for fault diagnosis in batch processes
- (2014) R. Vitale et al. JOURNAL OF CHEMOMETRICS
- A novel dynamic bayesian network-based networked process monitoring approach for fault detection, propagation identification, and root cause diagnosis
- (2013) Jie Yu et al. AICHE JOURNAL
- Weighted kernel principal component analysis based on probability density estimation and moving window and its application in nonlinear chemical process monitoring
- (2013) Qingchao Jiang et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Modified kernel principal component analysis based on local structure analysis and its application to nonlinear process fault diagnosis
- (2013) Xiaogang Deng et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Enhanced batch process monitoring using just-in-time-learning based kernel partial least squares
- (2013) Yi Hu et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Statistical Monitoring of Chemical Processes Based on Sensitive Kernel Principal Components
- (2013) Qingchao JIANG et al. CHINESE JOURNAL OF CHEMICAL ENGINEERING
- Sparse Kernel Locality Preserving Projection and Its Application in Nonlinear Process Fault Detection
- (2013) Xiaogang DENG et al. CHINESE JOURNAL OF CHEMICAL ENGINEERING
- Contribution rate plot for nonlinear quality-related fault diagnosis with application to the hot strip mill process
- (2013) Kaixiang Peng et al. CONTROL ENGINEERING PRACTICE
- Online monitoring of nonlinear multivariate industrial processes using filtering KICA–PCA
- (2013) Jicong Fan et al. CONTROL ENGINEERING PRACTICE
- Modeling and monitoring of nonlinear multi-mode processes
- (2013) Yingwei Zhang et al. CONTROL ENGINEERING PRACTICE
- Fault Identification of Nonlinear Processes
- (2013) Yingwei Zhang et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Feature-Points-Based Multimodel Single Dynamic Kernel Principle Component Analysis (M-SDKPCA) Modeling and Online Monitoring Strategy for Uneven-Length Batch Processes
- (2013) Y. Wang et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Nonlinear Detection and Isolation of Multiple Faults Using Residuals Modeling
- (2013) Ivan Castillo et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Robust Online Monitoring Based on Spherical-Kernel Partial Least Squares for Nonlinear Processes with Contaminated Modeling Data
- (2013) Yi Hu et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Review of Recent Research on Data-Based Process Monitoring
- (2013) Zhiqiang Ge et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Fault detection and diagnosis of non-linear non-Gaussian dynamic processes using kernel dynamic independent component analysis
- (2013) Jicong Fan et al. INFORMATION SCIENCES
- Data-driven design of monitoring and diagnosis systems for dynamic processes: A review of subspace technique based schemes and some recent results
- (2013) S.X. Ding JOURNAL OF PROCESS CONTROL
- Quality relevant nonlinear batch process performance monitoring using a kernel based multiway non-Gaussian latent subspace projection approach
- (2013) Junichi Mori et al. JOURNAL OF PROCESS CONTROL
- Quality-Related Process Monitoring Based on Total Kernel PLS Model and Its Industrial Application
- (2013) Kaixiang Peng et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Nonlinear process fault pattern recognition using statistics kernel PCA similarity factor
- (2013) Xiaogang Deng et al. NEUROCOMPUTING
- Survey on data-driven industrial process monitoring and diagnosis
- (2012) S. Joe Qin ANNUAL REVIEWS IN CONTROL
- Reconstruction in integrating fault spaces for fault identification with kernel independent component analysis
- (2012) Yan Liu et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Modeling and monitoring of multimode process based on subspace separation
- (2012) Yingwei Zhang et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Dynamic processes monitoring using recursive kernel principal component analysis
- (2012) Yingwei Zhang et al. CHEMICAL ENGINEERING SCIENCE
- Monitoring of time-varying processes using kernel independent component analysis
- (2012) Yingwei Zhang et al. CHEMICAL ENGINEERING SCIENCE
- Dynamical process monitoring using dynamical hierarchical kernel partial least squares
- (2012) Yingwei Zhang et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Weak fault monitoring method for batch process based on multi-model SDKPCA
- (2012) Ya-Jun Wang et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- A new dissimilarity method integrating multidimensional mutual information and independent component analysis for non-Gaussian dynamic process monitoring
- (2012) Mudassir M. Rashid et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- A few useful things to know about machine learning
- (2012) Pedro Domingos COMMUNICATIONS OF THE ACM
- The optimization of the kind and parameters of kernel function in KPCA for process monitoring
- (2012) Mingxing Jia et al. COMPUTERS & CHEMICAL ENGINEERING
- Monitoring, fault diagnosis, fault-tolerant control and optimization: Data driven methods
- (2012) John MacGregor et al. COMPUTERS & CHEMICAL ENGINEERING
- Fault diagnosis by Locality Preserving Discriminant Analysis and its kernel variation
- (2012) Gang Rong et al. COMPUTERS & CHEMICAL ENGINEERING
- Nonlinear and Non-Gaussian Dynamic Batch Process Monitoring Using a New Multiway Kernel Independent Component Analysis and Multidimensional Mutual Information Based Dissimilarity Approach
- (2012) Mudassir M. Rashid et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Modeling and monitoring for handling nonlinear dynamic processes
- (2012) Yingwei Zhang et al. INFORMATION SCIENCES
- On-line batch process monitoring using hierarchical kernel partial least squares
- (2011) Yingwei Zhang et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Multivariate process monitoring and analysis based on multi-scale KPLS
- (2011) Yingwei Zhang et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Improved multi-scale kernel principal component analysis and its application for fault detection
- (2011) Yingwei Zhang et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Decentralized fault diagnosis using multiblock kernel independent component analysis
- (2011) Yingwei Zhang et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- A nonlinear kernel Gaussian mixture model based inferential monitoring approach for fault detection and diagnosis of chemical processes
- (2011) Jie Yu CHEMICAL ENGINEERING SCIENCE
- Exploring nonlinear relationships in chemical data using kernel-based methods
- (2011) Dong-Sheng Cao et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Variable window adaptive Kernel Principal Component Analysis for nonlinear nonstationary process monitoring
- (2011) Issam Ben Khediri et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Kernel k-means clustering based local support vector domain description fault detection of multimodal processes
- (2011) Issam Ben Khediri et al. EXPERT SYSTEMS WITH APPLICATIONS
- Nonlinear Bioprocess Monitoring Using Multiway Kernel Localized Fisher Discriminant Analysis
- (2011) Jie Yu INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Improved nonlinear process monitoring using KPCA with sample vector selection and combined index
- (2011) C. Sumana et al. Asia-Pacific Journal of Chemical Engineering
- Statistics pattern analysis: A new process monitoring framework and its application to semiconductor batch processes
- (2010) Q. Peter He et al. AICHE JOURNAL
- Fault Detection of Non-Linear Processes Using Kernel Independent Component Analysis
- (2010) Jong-Min Lee et al. CANADIAN JOURNAL OF CHEMICAL ENGINEERING
- Fault diagnosis based on imbalance modified kernel Fisher discriminant analysis
- (2010) Zhi-Bo Zhu et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Statistical analysis and adaptive technique for dynamical process monitoring
- (2010) Yingwei Zhang et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Fault diagnosis of nonlinear processes using multiscale KPCA and multiscale KPLS
- (2010) Yingwei Zhang et al. CHEMICAL ENGINEERING SCIENCE
- On-line batch process monitoring using batch dynamic kernel principal component analysis
- (2010) Mingxing Jia et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- A novel fault diagnosis system using pattern classification on kernel FDA subspace
- (2010) Zhi-Bo Zhu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Improved Fault Diagnosis Using Dynamic Kernel Scatter-Difference-Based Discriminant Analysis†
- (2010) C. Sumana et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Reconstruction-Based Contribution for Process Monitoring with Kernel Principal Component Analysis
- (2010) Carlos F. Alcala et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Adaptive Kernel Principal Component Analysis (KPCA) for Monitoring Small Disturbances of Nonlinear Processes
- (2010) Chun-Yuan Cheng et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Kernel Generalization of PPCA for Nonlinear Probabilistic Monitoring
- (2010) Zhiqiang Ge et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- A survey on multistage/multiphase statistical modeling methods for batch processes
- (2009) Yuan Yao et al. ANNUAL REVIEWS IN CONTROL
- Learning a data-dependent kernel function for KPCA-based nonlinear process monitoring
- (2009) Ji-Dong Shao et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Multivariate statistical process monitoring using an improved independent component analysis
- (2009) Li Wang et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Improved kernel PCA-based monitoring approach for nonlinear processes
- (2009) Zhiqiang Ge et al. CHEMICAL ENGINEERING SCIENCE
- Complex process monitoring using modified partial least squares method of independent component regression
- (2009) Yingwei Zhang et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Generalized orthogonal locality preserving projections for nonlinear fault detection and diagnosis
- (2009) Ji-Dong Shao et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Moving window kernel PCA for adaptive monitoring of nonlinear processes
- (2009) Xueqin Liu et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Nonlinear process monitoring based on maximum variance unfolding projections
- (2009) Ji-Dong Shao et al. EXPERT SYSTEMS WITH APPLICATIONS
- Decentralized Fault Diagnosis of Large-Scale Processes Using Multiblock Kernel Partial Least Squares
- (2009) Yingwei Zhang et al. IEEE Transactions on Industrial Informatics
- Nonlinear Batch Process Monitoring Using Phase-Based Kernel-Independent Component Analysis−Principal Component Analysis (KICA−PCA)
- (2009) Chunhui Zhao et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Improved nonlinear fault detection technique and statistical analysis
- (2008) Yingwei Zhang et al. AICHE JOURNAL
- DROWNING IN DATA: Informatics and modeling challenges in a data-rich networked world
- (2008) Venkat Venkatasubramanian AICHE JOURNAL
- Nonlinear multiscale modelling for fault detection and identification
- (2008) Sang Wook Choi et al. CHEMICAL ENGINEERING SCIENCE
- Enhanced statistical analysis of nonlinear processes using KPCA, KICA and SVM
- (2008) Yingwei Zhang CHEMICAL ENGINEERING SCIENCE
- Kernel scatter-difference-based discriminant analysis for nonlinear fault diagnosis
- (2008) Junhong Li et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Fault diagnosis based on variable-weighted kernel Fisher discriminant analysis
- (2008) Xiao Bin He et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Nonlinear process monitoring based on kernel dissimilarity analysis
- (2008) Chunhui Zhao et al. CONTROL ENGINEERING PRACTICE
- Fault Detection and Diagnosis of Nonlinear Processes Using Improved Kernel Independent Component Analysis (KICA) and Support Vector Machine (SVM)
- (2008) Yingwei Zhang INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Fault Diagnosis Based on Signed Digraph Combined with Dynamic Kernel PLS and SVR
- (2008) Ning Lü et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Multivariate statistical process control based on multiway locality preserving projections
- (2008) Kunlun Hu et al. JOURNAL OF PROCESS CONTROL
- Rotating machinery prognostics: State of the art, challenges and opportunities
- (2008) Aiwina Heng et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Multiway kernel independent component analysis based on feature samples for batch process monitoring
- (2008) Xuemin Tian et al. NEUROCOMPUTING
- Improved kernel principal component analysis for fault detection
- (2007) P CUI et al. EXPERT SYSTEMS WITH APPLICATIONS
- Improved kernel fisher discriminant analysis for fault diagnosis
- (2007) Junhong Li et al. EXPERT SYSTEMS WITH APPLICATIONS
- An orthogonally filtered tree classifier based on nonlinear kernel-based optimal representation of data
- (2006) H CHO EXPERT SYSTEMS WITH APPLICATIONS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation