Fault detection and diagnosis of nonlinear dynamical processes through correlation dimension and fractal analysis based dynamic kernel PCA

Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development

(2020) Xiaofeng Yuan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network

(2019) Yalin Wang et al.   ISA TRANSACTIONS

Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network

(2019) Xiaofeng Yuan et al.   IEEE Transactions on Industrial Informatics

Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy

(2019) Xiaofeng Yuan et al.   IEEE Transactions on Industrial Informatics

Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes

(2018) Xiaofeng Yuan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fault detection and pathway analysis using a dynamic Bayesian network

(2018) Md. Tanjin Amin et al.   CHEMICAL ENGINEERING SCIENCE

A sparse PCA for nonlinear fault diagnosis and robust feature discovery of industrial processes

(2016) Hongyang Yu et al.   AICHE JOURNAL

Fault Diagnosis Method on Polyvinyl Chloride Polymerization Process Based on Dynamic Kernel Principal Component and Fisher Discriminant Analysis Method

(2016) Shu-zhi Gao et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Integration of a failure monitoring within a hybrid dynamic simulation environment

(2007) Nelly Olivier-Maget et al.   CHEMICAL ENGINEERING AND PROCESSING