Fault monitoring for chemical processes using neighborhood embedding discriminative analysis

An enhanced dynamic artificial immune system based on simulated vaccine for early fault diagnosis with limited data

(2022) Yuman Yao et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Fault detection of petrochemical process based on space-time compressed matrix and Naive Bayes

(2022) Zhenyu Deng et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Statistical method based on dissimilarity of variable correlations for multimode chemical process monitoring with transitions

(2022) Cheng Ji et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Locality preserving randomized canonical correlation analysis for real-time nonlinear process monitoring

(2021) Ping Wu et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Variational Bayesian probabilistic modeling framework for data-driven distributed process monitoring

(2021) Jiashi Jiang et al.   CONTROL ENGINEERING PRACTICE

Hierarchical hybrid distributed PCA for plant-wide monitoring of chemical processes

(2021) Yue Cao et al.   CONTROL ENGINEERING PRACTICE

Quality Variable Prediction for Nonlinear Dynamic Industrial Processes Based on Temporal Convolutional Networks

(2021) Xiaofeng Yuan et al.   IEEE SENSORS JOURNAL

Monitoring multimode processes: A modified PCA algorithm with continual learning ability

(2021) Jingxin Zhang et al.   JOURNAL OF PROCESS CONTROL

Multivariate statistical process monitoring based on principal discriminative component analysis

(2021) Shanzhi Li et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

A data-driven Bayesian network learning method for process fault diagnosis

(2021) Md. Tanjin Amin et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Risk-based fault detection and diagnosis for nonlinear and non-Gaussian process systems using R-vine copula

(2021) Md. Tanjin Amin et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Decentralized PCA modeling based on relevance and redundancy variable selection and its application to large-scale dynamic process monitoring

(2021) Bing Xiao et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

A deep learning model for process fault prognosis

(2021) Rajeevan Arunthavanathan et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

A novel orthogonal self-attentive variational autoencoder method for interpretable chemical process fault detection and identification

(2021) Xiaotian Bi et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Fault monitoring using novel adaptive kernel principal component analysis integrating grey relational analysis

(2021) Yongming Han et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Deep Learning of Latent Variable Models for Industrial Process Monitoring

(2021) Xiangyin Kong et al.   IEEE Transactions on Industrial Informatics

Bridging systems theory and data science: A unifying review of dynamic latent variable analytics and process monitoring

(2020) S. Joe Qin et al.   ANNUAL REVIEWS IN CONTROL

Slow feature analysis-independent component analysis based integrated monitoring approach for industrial processes incorporating dynamic and static characteristics

(2020) Jian Huang et al.   CONTROL ENGINEERING PRACTICE

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

Comparative study on monitoring schemes for non-Gaussian distributed processes

(2018) Gang Li 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

Process monitoring via enhanced neighborhood preserving embedding

(2016) Bing Song et al.   CONTROL ENGINEERING PRACTICE

Nonlocal structure constrained neighborhood preserving embedding model and its application for fault detection

(2015) Aimin Miao et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

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

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

Time Neighborhood Preserving Embedding Model and Its Application for Fault Detection

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