Retrospective comparison of several typical linear dynamic latent variable models for industrial process monitoring

Exponential Stationary Subspace Analysis for Stationary Feature Analytics and Adaptive Nonstationary Process Monitoring

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

Dynamic latent variable regression for inferential sensor modeling and monitoring

(2020) Qinqin Zhu et al.   COMPUTERS & CHEMICAL ENGINEERING

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

Variants of slow feature analysis framework for automatic detection and isolation of multiple oscillations in coupled control loops

(2020) Jie Wang et al.   COMPUTERS & CHEMICAL ENGINEERING

Concurrent static and dynamic dissimilarity analytics for fine-scale evaluation of process data distributions

(2020) Yi Zhao et al.   CONTROL ENGINEERING PRACTICE

A Gaussian Feature Analytics-Based DISSIM Method for Fine-Grained Non-Gaussian Process Monitoring

(2020) Jie Wang et al.   IEEE Transactions on Automation Science and Engineering

Fault Description Based Attribute Transfer for Zero-Sample Industrial Fault Diagnosis

(2020) Liangjun Feng et al.   IEEE Transactions on Industrial Informatics

Low-Rank Characteristic and Temporal Correlation Analytics for Incipient Industrial Fault Detection With Missing Data

(2020) Wanke Yu et al.   IEEE Transactions on Industrial Informatics

Dual Attention-Based Encoder–Decoder: A Customized Sequence-to-Sequence Learning for Soft Sensor Development

(2020) Liangjun Feng et al.   IEEE Transactions on Neural Networks and Learning Systems

Gaussian feature learning based on variational autoencoder for improving nonlinear process monitoring

(2019) Zehan Zhang et al.   JOURNAL OF PROCESS CONTROL

Hybrid fault characteristics decomposition based probabilistic distributed fault diagnosis for large-scale industrial processes

(2019) Wenqing Li et al.   CONTROL ENGINEERING PRACTICE

Just-in-time learning based soft sensor with variable selection and weighting optimized by evolutionary optimization for quality prediction of nonlinear processes

(2019) Bei Pan et al.   CHEMICAL ENGINEERING RESEARCH & DESIGN

A new soft-sensor algorithm with concurrent consideration of slowness and quality interpretation for dynamic chemical process

(2019) Yan Qin et al.   CHEMICAL ENGINEERING SCIENCE

Data-driven monitoring of multimode continuous processes: A review

(2019) Marcos Quiñones-Grueiro et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Simultaneous Static and Dynamic Analysis for Fine-Scale Identification of Process Operation Statuses

(2019) Shumei Zhang et al.   IEEE Transactions on Industrial Informatics

Online monitoring of performance variations and process dynamic anomalies with performance-relevant full decomposition of slow feature analysis

(2019) Jiale Zheng et al.   JOURNAL OF PROCESS CONTROL

Enhanced Random Forest With Concurrent Analysis of Static and Dynamic Nodes for Industrial Fault Classification

(2019) Zheng Chai et al.   IEEE Transactions on Industrial Informatics

A slow independent component analysis algorithm for time series feature extraction with the concurrent consideration of high-order statistic and slowness

(2019) Liangjun Feng et al.   JOURNAL OF PROCESS CONTROL

Robust Monitoring and Fault Isolation of Nonlinear Industrial Processes Using Denoising Autoencoder and Elastic Net

(2019) Wanke Yu et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Total Variable Decomposition Based on Sparse Cointegration Analysis for Distributed Monitoring of Nonstationary Industrial Processes

(2019) Chunhui Zhao et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Dynamic latent variable analytics for process operations and control

(2018) Yining Dong 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

Recursive Slow Feature Analysis for Adaptive Monitoring of Industrial Processes

(2018) Chao Shang 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

Regression on dynamic PLS structures for supervised learning of dynamic data

(2018) Yining Dong et al.   JOURNAL OF PROCESS CONTROL

A novel dynamic PCA algorithm for dynamic data modeling and process monitoring

(2018) Yining Dong et al.   JOURNAL OF PROCESS CONTROL

Fault detection based on time series modeling and multivariate statistical process control

(2018) A. Sánchez-Fernández et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Dynamic distributed monitoring strategy for large-scale nonstationary processes subject to frequently varying conditions under closed-loop control

(2018) Chunhui Zhao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Distributed Dynamic Modeling and Monitoring for Large-Scale Industrial Processes under Closed-Loop Control

(2018) Wenqing Li et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Hybrid independent component analysis (H-ICA) with simultaneous analysis of high-order and second-order statistics for industrial process monitoring

(2018) Shumei Zhang et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Mixed kernel canonical variate dissimilarity analysis for incipient fault monitoring in nonlinear dynamic processes

(2018) Karl Ezra S. Pilario et al.   COMPUTERS & CHEMICAL ENGINEERING

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

Bayesian sparse reduced rank multivariate regression

(2017) Gyuhyeong Goh et al.   JOURNAL OF MULTIVARIATE ANALYSIS

Two layered mixture Bayesian probabilistic PCA for dynamic process monitoring

(2017) Rahul Raveendran et al.   JOURNAL OF PROCESS CONTROL

Fault detection of process correlation structure using canonical variate analysis-based correlation features

(2017) Benben Jiang et al.   JOURNAL OF PROCESS CONTROL

Monitoring of operating point and process dynamics via probabilistic slow feature analysis

(2016) Feihong Guo et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Canonical variate analysis for performance degradation under faulty conditions

(2016) C. Ruiz-Cárcel et al.   CONTROL ENGINEERING PRACTICE

Efficient recursive canonical variate analysis approach for monitoring time-varying processes

(2016) Liangliang Shang et al.   JOURNAL OF CHEMOMETRICS

Probabilistic slow feature analysis-based representation learning from massive process data for soft sensor modeling

(2015) Chao Shang et al.   AICHE JOURNAL

Concurrent monitoring of operating condition deviations and process dynamics anomalies with slow feature analysis

(2015) Chao Shang et al.   AICHE JOURNAL

Statistical process monitoring of a multiphase flow facility

(2015) C. Ruiz-Cárcel et al.   CONTROL ENGINEERING PRACTICE

Enhancing dynamic soft sensors based on DPLS: A temporal smoothness regularization approach

(2015) Chao Shang et al.   JOURNAL OF PROCESS CONTROL

Process data analytics in the era of big data

(2014) S. Joe Qin   AICHE JOURNAL

Concurrent phase partition and between-mode statistical analysis for multimode and multiphase batch process monitoring

(2013) Chunhui Zhao   AICHE JOURNAL

Factor models in high-dimensional time series—A time-domain approach

(2013) Marc Hallin et al.   STOCHASTIC PROCESSES AND THEIR APPLICATIONS

Factor modeling for high-dimensional time series: Inference for the number of factors

(2012) Clifford Lam et al.   ANNALS OF STATISTICS

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

Sparse Reduced-Rank Regression for Simultaneous Dimension Reduction and Variable Selection

(2012) Lisha Chen et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Estimation of latent factors for high-dimensional time series

(2011) C. Lam et al.   BIOMETRIKA

Slow Feature Analysis for Human Action Recognition

(2011) Zhang Zhang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Statistical analysis and online monitoring for multimode processes with between-mode transitions

(2010) Chunhui Zhao et al.   CHEMICAL ENGINEERING SCIENCE

Adaptive Kernel Principal Component Analysis (KPCA) for Monitoring Small Disturbances of Nonlinear Processes

(2010) Chun-Yuan Cheng et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

A novel process monitoring approach with dynamic independent component analysis

(2009) Chun-Chin Hsu et al.   CONTROL ENGINEERING PRACTICE

Nonlinear Dynamic Process Monitoring Using Canonical Variate Analysis and Kernel Density Estimations

(2009) P.-E.P. Odiowei et al.   IEEE Transactions on Industrial Informatics

Modelling multiple time series via common factors

(2008) J. Pan et al.   BIOMETRIKA

Subspace identification for two-dimensional dynamic batch process statistical monitoring

(2008) Yuan Yao et al.   CHEMICAL ENGINEERING SCIENCE