Statistical process monitoring based on just-in-time feature analysis

Data-driven decision-making for wastewater treatment process

(2020) Hong-Gui Han et al.   CONTROL ENGINEERING PRACTICE

One-dimensional convolutional auto-encoder-based feature learning for fault diagnosis of multivariate processes

(2020) Shumei Chen et al.   JOURNAL OF PROCESS CONTROL

Canonical Correlation Analysis-Based Explicit Relation Discovery for Statistical Process Monitoring

(2020) Shengjun Meng et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Feature selection for multivariate contribution analysis in fault detection and isolation

(2020) T.W. Rauber et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Distributed process monitoring based on canonical correlation analysis with partly-connected topology

(2020) Xin Peng et al.   CONTROL ENGINEERING PRACTICE

Nonlinear fault detection for batch processes via improved chordal kernel tensor locality preserving projections

(2020) Yujie Zhou et al.   CONTROL ENGINEERING PRACTICE

Process monitoring using principal component analysis and stacked autoencoder for linear and nonlinear coexisting industrial processes

(2020) Jiangsheng Li et al.   Journal of the Taiwan Institute of Chemical Engineers

Distributed partial least squares based residual generation for statistical process monitoring

(2019) Chudong Tong et al.   JOURNAL OF PROCESS CONTROL

Statistical monitoring for non-Gaussian processes based on MICA-KDR method

(2019) Ting Lan et al.   ISA TRANSACTIONS

Review and Perspectives of Data-Driven Distributed Monitoring for Industrial Plant-Wide Processes

(2019) Qingchao Jiang et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Process control practice and education: Past, present and future

(2019) B. Wayne Bequette   COMPUTERS & CHEMICAL ENGINEERING

Industrial process monitoring based on Fisher discriminant global-local preserving projection

(2019) Qiu Tang et al.   JOURNAL OF PROCESS CONTROL

Global-and-local-structure-based neural network for fault detection

(2019) Haitao Zhao et al.   NEURAL NETWORKS

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

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

Determination of the optimal number of components in independent components analysis

(2018) Amine Kassouf et al.   TALANTA

Process Data Analytics via Probabilistic Latent Variable Models: A Tutorial Review

(2018) Zhiqiang Ge   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Fault detection based on robust characteristic dimensionality reduction

(2018) Tianxu Guo et al.   CONTROL ENGINEERING PRACTICE

Distributed Parallel PCA for Modeling and Monitoring of Large-Scale Plant-Wide Processes With Big Data

(2017) Jinlin Zhu et al.   IEEE Transactions on Industrial Informatics

Nonlinear Process Monitoring Using Data-Dependent Kernel Global–Local Preserving Projections

(2015) Lijia Luo et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Multiblock Independent Component Analysis Integrated with Hellinger Distance and Bayesian Inference for Non-Gaussian Plant-Wide Process Monitoring

(2015) Qingchao Jiang et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

A New Method of Dynamic Latent-Variable Modeling for Process Monitoring

(2014) Gang Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Online monitoring of nonlinear multivariate industrial processes using filtering KICA–PCA

(2013) Jicong Fan et al.   CONTROL ENGINEERING PRACTICE

Time Neighborhood Preserving Embedding Model and Its Application for Fault Detection

(2013) Aimin Miao et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Statistical fault detection using PCA-based GLR hypothesis testing

(2012) Fouzi Harrou et al.   JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES

Global–Local Structure Analysis Model and Its Application for Fault Detection and Identification

(2011) Muguang Zhang et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Integrating independent component analysis and local outlier factor for plant-wide process monitoring

(2011) Jaeshin Lee et al.   JOURNAL OF PROCESS CONTROL

A comparative study of just-in-time-learning based methods for online soft sensor modeling

(2010) Zhiqiang Ge et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Reconstruction based fault prognosis for continuous processes

(2010) Gang Li et al.   CONTROL ENGINEERING PRACTICE