Survey on recursive statistical process monitoring methods

A novel multivariate statistical process monitoring algorithm: Orthonormal subspace analysis

(2022) Zhijiang Lou et al.   AUTOMATICA

Artificial Neural Correlation Analysis for Performance-Indicator-Related Nonlinear Process Monitoring

(2021) Qing Chen et al.   IEEE Transactions on Industrial Informatics

Recursive Correlative Statistical Analysis Method With Sliding Windows for Incipient Fault Detection

(2021) Yihao Qin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Knowledge based recursive non-linear partial least squares (RNPLS)

(2020) A. Merino et al.   ISA TRANSACTIONS

Recursive correlated representation learning for adaptive monitoring of slowly varying processes

(2020) Yang Wang et al.   ISA TRANSACTIONS

Recursive cointegration analytics for adaptive monitoring of nonstationary industrial processes with both static and dynamic variations

(2020) Wanke Yu et al.   JOURNAL OF PROCESS CONTROL

New Nonlinear Approach for Process Monitoring: Neural Component Analysis

(2020) Zhijiang Lou et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Multistep Dynamic Slow Feature Analysis for Industrial Process Monitoring

(2020) Xin Ma et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Adaptive process monitoring via online dictionary learning and its industrial application

(2020) Keke Huang et al.   ISA TRANSACTIONS

Key-Performance-Indicator-Related Process Monitoring Based on Improved Kernel Partial Least Squares

(2020) Yabin Si et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Recursive Gaussian Mixture Models for Adaptive Process Monitoring

(2019) Junhua Zheng et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Deep neural network based recursive feature learning for nonlinear dynamic process monitoring

(2019) Jiazhen Zhu et al.   CANADIAN JOURNAL OF CHEMICAL ENGINEERING

A New Hybrid Fault Detection Method for Wind Turbine Blades Using Recursive PCA and Wavelet-Based PDF

(2019) Milad Rezamand et al.   IEEE SENSORS JOURNAL

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

Recursive Slow Feature Analysis for Adaptive Monitoring of Industrial Processes

(2018) Chao Shang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Adaptive k-Nearest-Neighbor Method for Process Monitoring

(2018) Wenbo Zhu et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Recursive Exponential Slow Feature Analysis for Fine-Scale Adaptive Processes Monitoring With Comprehensive Operation Status Identification

(2018) Wanke Yu et al.   IEEE Transactions on Industrial Informatics

Incipient Fault Detection for Multiphase Batch Processes With Limited Batches

(2017) Shumei Zhang et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

An improved weighted recursive PCA algorithm for adaptive fault detection

(2016) Ivan Portnoy et al.   CONTROL ENGINEERING PRACTICE

Key principal components with recursive local outlier factor for multimode chemical process monitoring

(2016) Bing Song et al.   JOURNAL OF PROCESS CONTROL

Improved canonical correlation analysis-based fault detection methods for industrial processes

(2016) Zhiwen Chen et al.   JOURNAL OF PROCESS CONTROL

Variable moving windows based non-Gaussian dissimilarity analysis technique for batch processes fault detection and diagnosis

(2015) Yuan Li et al.   CANADIAN JOURNAL OF CHEMICAL ENGINEERING

A comparison and evaluation of key performance indicator-based multivariate statistics process monitoring approaches

(2015) Kai Zhang et al.   JOURNAL OF PROCESS CONTROL

Adaptive total PLS based quality-relevant process monitoring with application to the Tennessee Eastman process

(2015) Jie Dong et al.   NEUROCOMPUTING

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

A Review on Basic Data-Driven Approaches for Industrial Process Monitoring

(2014) Shen Yin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Dynamic process monitoring using adaptive local outlier factor

(2013) Yuxin Ma et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Review of Recent Research on Data-Based Process Monitoring

(2013) Zhiqiang Ge et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Process monitoring based on improved recursive PCA methods by adaptive extracting principal components

(2013) Lirong Xia et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

Survey on data-driven industrial process monitoring and diagnosis

(2012) S. Joe Qin   ANNUAL REVIEWS IN CONTROL

Dynamic processes monitoring using recursive kernel principal component analysis

(2012) Yingwei Zhang et al.   CHEMICAL ENGINEERING SCIENCE

Recursive Fault Detection and Isolation Approaches of Time-Varying Processes

(2012) Lamiaa M. Elshenawy et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

A new integrated on-line fuzzy clustering and segmentation methodology with adaptive PCA approach for process monitoring and fault detection and diagnosis

(2012) Hesam Komari Alaei et al.   SOFT COMPUTING

Fault detection, identification and diagnosis using CUSUM based PCA

(2011) M.A. Bin Shams et al.   CHEMICAL ENGINEERING SCIENCE

Variable window adaptive Kernel Principal Component Analysis for nonlinear nonstationary process monitoring

(2011) Issam Ben Khediri et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Fault Detection of Non-Linear Processes Using Kernel Independent Component Analysis

(2010) Jong-Min Lee et al.   CANADIAN JOURNAL OF CHEMICAL ENGINEERING

Adaptive process monitoring using efficient recursive PCA and moving window PCA algorithms

(2010) Jyh-Cheng Jeng   Journal of the Taiwan Institute of Chemical Engineers

Efficient Recursive Principal Component Analysis Algorithms for Process Monitoring

(2009) Lamiaa M. Elshenawy et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Fast and Stable Subspace Tracking

(2008) Xenofon G. Doukopoulos et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Variable MWPCA for Adaptive Process Monitoring

(2007) Xiao Bin He et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH