4.7 Article

Hierarchical Quality Monitoring for Large-Scale Industrial Plants With Big Process Data

Related references

Note: Only part of the references are listed.
Article Automation & Control Systems

Scalable Semisupervised GMM for Big Data Quality Prediction in Multimode Processes

Le Yao et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)

Article Automation & Control Systems

Soft-Sensor Development for Processes With Multiple Operating Modes Based on Semisupervised Gaussian Mixture Regression

Weiming Shao et al.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2019)

Article Automation & Control Systems

Parallel Computing and SGD-Based DPMM For Soft Sensor Development With Large-Scale Semisupervised Data

Weiming Shao et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)

Article Automation & Control Systems

Multimode Process Monitoring Based on Switching Autoregressive Dynamic Latent Variable Model

Le Zhou et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)

Article Automation & Control Systems

Large-scale plant-wide process modeling and hierarchical monitoring: A distributed Bayesian network approach

Jinlin Zhu et al.

JOURNAL OF PROCESS CONTROL (2018)

Article Engineering, Chemical

Monitoring big process data of industrial plants with multiple operating modes based on Hadoop

Jinlin Zhu et al.

JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS (2018)

Review Engineering, Chemical

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

Zhiqiang Ge

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2018)

Article Automation & Control Systems

Big data quality prediction in the process industry: A distributed parallel modeling framework

Le Yao et al.

JOURNAL OF PROCESS CONTROL (2018)

Article Automation & Control Systems

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

Jinlin Zhu et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2017)

Article Automation & Control Systems

A KPI-based process monitoring and fault detection framework for large-scale processes

Kai Zhang et al.

ISA TRANSACTIONS (2017)

Article Computer Science, Information Systems

Data Mining and Analytics in the Process Industry: The Role of Machine Learning

Zhiqiang Ge et al.

IEEE ACCESS (2017)

Review Automation & Control Systems

Review on data-driven modeling and monitoring for plant-wide industrial processes

Zhiqiang Ge

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2017)

Article Automation & Control Systems

A Quality-Based Nonlinear Fault Diagnosis Framework Focusing on Industrial Multimode Batch Processes

Kaixiang Peng et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2016)

Article Automation & Control Systems

Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference

Qingchao Jiang et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2016)

Article Automation & Control Systems

Fault Isolation in Data-Driven Multivariate Process Monitoring

Dimitry Gorinevsky

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2015)

Article Automation & Control Systems

A New Soft-Sensor-Based Process Monitoring Scheme Incorporating Infrequent KPI Measurements

Yuri A. W. Shardt et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2015)

Article Automation & Control Systems

Data-Based Techniques Focused on Modern Industry: An Overview

Shen Yin et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2015)

Proceedings Paper Automation & Control Systems

Revision of the Tennessee Eastman Process Model

Andreas Bathelt et al.

IFAC PAPERSONLINE (2015)

Editorial Material Engineering, Chemical

Process Data Analytics in the Era of Big Data

S. Joe Qin

AICHE JOURNAL (2014)

Article Automation & Control Systems

Monitoring multi-mode plant-wide processes by using mutual information-based multi-block PCA, joint probability, and Bayesian inference

Qingchao Jiang et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2014)

Article Automation & Control Systems

Decentralized Fault Diagnosis of Continuous Annealing Processes Based on Multilevel PCA

Qiang Liu et al.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2013)

Article Automation & Control Systems

A Novel Scheme for Key Performance Indicator Prediction and Diagnosis With Application to an Industrial Hot Strip Mill

Steven X. Ding et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2013)

Article Engineering, Civil

Distributed Modeling in a MapReduce Framework for Data-Driven Traffic Flow Forecasting

Cheng Chen et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2013)

Article Engineering, Chemical

Total Projection to Latent Structures for Process Monitoring

Donghua Zhou et al.

AICHE JOURNAL (2010)

Article Engineering, Chemical

Mixture Bayesian Regularization Method of PPCA for Multimode Process Monitoring

Zhiqiang Ge et al.

AICHE JOURNAL (2010)

Article Automation & Control Systems

Geometric properties of partial least squares for process monitoring

Gang Li et al.

AUTOMATICA (2010)