A batch-wise LSTM-encoder decoder network for batch process monitoring

Soft sensor validation for monitoring and resilient control of sequential subway indoor air quality through memory-gated recurrent neural networks-based autoencoders

(2020) Jorge Loy-Benitez et al.   CONTROL ENGINEERING PRACTICE

Hybrid machine learning assisted modelling framework for particle processes

(2020) Rasmus Fjordbak Nielsen et al.   COMPUTERS & CHEMICAL ENGINEERING

Fault diagnosis of nonlinear systems using recurrent neural networks

(2019) Hadi Shahnazari   CHEMICAL ENGINEERING RESEARCH & DESIGN

Data-Driven Two-Dimensional Deep Correlated Representation Learning for Nonlinear Batch Process Monitoring

(2019) Qingchao Jiang et al.   IEEE Transactions on Industrial Informatics

A geometric method for batch data visualization, process monitoring and fault detection

(2018) Ray Wang et al.   JOURNAL OF PROCESS CONTROL

Data Visualization and Visualization-Based Fault Detection for Chemical Processes

(2017) Ray Wang et al.   Processes

Nonlinear and robust statistical process monitoring based on variant autoencoders

(2016) Weiwu Yan et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

An extensive reference dataset for fault detection and identification in batch processes

(2015) Jan Van Impe et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Step-wise sequential phase partition (SSPP) algorithm based statistical modeling and online process monitoring

(2013) Chunhui Zhao et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Survey on data-driven industrial process monitoring and diagnosis

(2012) S. Joe Qin   ANNUAL REVIEWS IN CONTROL

A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process

(2012) Shen Yin et al.   JOURNAL OF PROCESS CONTROL

Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada

(2011) Jan Adamowski et al.   WATER RESOURCES RESEARCH

On-line batch process monitoring using batch dynamic kernel principal component analysis

(2010) Mingxing Jia et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

A survey on multistage/multiphase statistical modeling methods for batch processes

(2009) Yuan Yao et al.   ANNUAL REVIEWS IN CONTROL