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。Monitoring of wastewater treatment processes using dynamic concurrent kernel partial least squares
Hongbin Liu et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2021)
Sub-period division strategies combined with multiway principle component analysis for fault diagnosis on sequence batch reactor of wastewater treatment process in paper mill
Jing Zhou et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2021)
Root causality analysis at early abnormal stage using principal component analysis and multivariate Granger causality
Hahyung Pyun et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2020)
A novel data-driven methodology for fault detection and dynamic risk assessment
Md. Tanjin Amin et al.
CANADIAN JOURNAL OF CHEMICAL ENGINEERING (2020)
Deep learning for fault-relevant feature extraction and fault classification with stacked supervised auto-encoder
Yalin Wang et al.
JOURNAL OF PROCESS CONTROL (2020)
Data-driven Bayesian network model for early kick detection in industrial drilling process
Dinh Minh Nhat et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2020)
Stacked Enhanced Auto-Encoder for Data-Driven Soft Sensing of Quality Variable
Xiaofeng Yuan et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
Stacked isomorphic autoencoder based soft analyzer and its application to sulfur recovery unit
Xiaofeng Yuan et al.
INFORMATION SCIENCES (2020)
Multiobjective Two-Dimensional CCA-Based Monitoring for Successive Batch Processes With Industrial Injection Molding Application
Qingchao Jiang et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
Mixed kernel canonical variate dissimilarity analysis for incipient fault monitoring in nonlinear dynamic processes
Karl Ezra S. Pilario et al.
COMPUTERS & CHEMICAL ENGINEERING (2019)
Advances and opportunities in machine learning for process data analytics
S. Joe Qin et al.
COMPUTERS & CHEMICAL ENGINEERING (2019)
Online reduced kernel PLS combined with GLRT for fault detection in chemical systems
R. Fazai et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2019)
Large Scale Online Multiple Kernel Regression with Application to Time-Series Prediction
Doyen Sahoo et al.
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (2019)
Survey on the theoretical research and engineering applications of multivariate statistics process monitoring algorithms: 2008-2017
Youqing Wang et al.
CANADIAN JOURNAL OF CHEMICAL ENGINEERING (2018)
Locality preserving discriminative canonical variate analysis for fault diagnosis
Qiugang Lu et al.
COMPUTERS & CHEMICAL ENGINEERING (2018)
A Mixture of Variational Canonical Correlation Analysis for Nonlinear and Quality-Relevant Process Monitoring
Yiqi Liu et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)
Fault Detection for Non-Gaussian Processes Using Generalized Canonical Correlation Analysis and Randomized Algorithms
Zhiwen Chen et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)
Canonical Variate Dissimilarity Analysis for Process Incipient Fault Detection
Karl Ezra Salgado Pilario et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)
Applications of Explicit Non-Linear Feature Maps in Steganalysis
Mehdi Boroumand et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2018)
Online Distributed Learning Over Networks in RKH Spaces Using Random Fourier Features
Pantelis Bouboulis et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2018)
A Bibliometric Review and Analysis of Data-Driven Fault Detection and Diagnosis Methods for Process Systems
Md Alauddin et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2018)
Online reduced kernel principal component analysis for process monitoring
Radhia Fezai et al.
JOURNAL OF PROCESS CONTROL (2018)
Dynamic concurrent kernel CCA for strip-thickness relevant fault diagnosis of continuous annealing processes
Qiang Liu et al.
JOURNAL OF PROCESS CONTROL (2018)
Locally Weighted Canonical Correlation Analysis for Nonlinear Process Monitoring
Qingchao Jiang et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2018)
Concurrent quality and process monitoring with canonical correlation analysis
Qinqin Zhu et al.
JOURNAL OF PROCESS CONTROL (2017)
Dynamic risk assessment of complex process operations based on a novel synthesis of soft-sensing and loss function
Hongyang Yu
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2017)
Improved data-based fault detection strategy and application to distillation columns
Muddu Madakyaru et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2017)
Data Mining and Analytics in the Process Industry: The Role of Machine Learning
Zhiqiang Ge et al.
IEEE ACCESS (2017)
Improved latent variable models for nonlinear and dynamic process monitoring
Hongyang Yu et al.
CHEMICAL ENGINEERING SCIENCE (2017)
Canonical correlation analysis-based fault detection methods with application to alumina evaporation process
Zhiwen Chen et al.
CONTROL ENGINEERING PRACTICE (2016)
Process monitoring of iron-making process in a blast furnace with PCA-based methods
Bo Zhou et al.
CONTROL ENGINEERING PRACTICE (2016)
Quality-Related Statistical Process Monitoring Method Based on Global and Local Partial Least-Squares Projection
Bin Zhong et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2016)
Ozone measurements monitoring using data-based approach
Fouzi Harrou et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2016)
Canonical variate analysis-based contributions for fault identification
Benben Jiang et al.
JOURNAL OF PROCESS CONTROL (2015)
Multi-apartment residential microgrid monitoring system based on kernel canonical variate analysis
Lucio Ciabattoni et al.
NEUROCOMPUTING (2015)
Methods and models in process safety and risk management: Past, present and future
Faisal Khan et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2015)
Risk-based fault detection using Self-Organizing Map
Hongyang Yu et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2015)
An LWPR-Based Data-Driven Fault Detection Approach for Nonlinear Process Monitoring
Guang Wang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2014)
Process Monitoring with Global-Local Preserving Projections
Lijia Luo
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2014)
Model selection and fault detection approach based on Bayes decision theory: Application to changes detection problem in a distillation column
Yahya Chetouani
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2014)
A new fault detection method for non-Gaussian process based on robust independent component analysis
Lianfang Cai et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2014)
Modified kernel principal component analysis based on local structure analysis and its application to nonlinear process fault diagnosis
Xiaogang Deng et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2013)
Dynamic Risk Assessment and Fault Detection Using Principal Component Analysis
O. Zadakbar et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2013)
An ontology-based framework for process monitoring and maintenance in petroleum plant
Rabee Elhdad et al.
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES (2013)
A New Locality-Preserving Canonical Correlation Analysis Algorithm for Multi-View Dimensionality Reduction
Fengshan Wang et al.
NEURAL PROCESSING LETTERS (2013)
Dynamic Risk Assessment and Fault Detection Using a Multivariate Technique
O. Zadakbar et al.
PROCESS SAFETY PROGRESS (2013)
Efficient Additive Kernels via Explicit Feature Maps
Andrea Vedaldi et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2012)
Local and global principal component analysis for process monitoring
Jianbo Yu
JOURNAL OF PROCESS CONTROL (2012)
Risk-Based Fault Diagnosis and Safety Management for Process Systems
Huizhi Bao et al.
PROCESS SAFETY PROGRESS (2011)
Nonlinear Dynamic Process Monitoring Using Canonical Variate Analysis and Kernel Density Estimations
Pabara-Ebiere Patricia Odiowei et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2010)
Real-time fault diagnosis using knowledge-based expert system
Cen Nan et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2008)
Locality preserving CCA with applications to data visualization and pose estimation
Tingkai Sun et al.
IMAGE AND VISION COMPUTING (2007)
Canonical correlation analysis: An overview with application to learning methods
DR Hardoon et al.
NEURAL COMPUTATION (2004)