Online monitoring of performance variations and process dynamic anomalies with performance-relevant full decomposition of slow feature analysis-Reference-Cited by-同舟云学术

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Online monitoring of performance variations and process dynamic anomalies with performance-relevant full decomposition of slow feature analysis

Published:2019-08 Issue: Volume:80 Page:89-102
ISSN:0959-1524
Container-title:Journal of Process Control
language:en
Short-container-title:Journal of Process Control

Author:

Zheng Jiale,Zhao Chunhui

Funder

NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization

Zhejiang Key Research and Development Project

Open Research Project of the State Key Laboratory of Industrial Control Technology, Zhejiang University, China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Modelling and Simulation,Control and Systems Engineering

Reference43 articles.

1. Statistical process monitoring of a multiphase flow facility;Ruiz-Cárcel;Control Eng. Pract.,2015

2. Multiblock concurrent PLS for decentralized monitoring of continuous annealing processes;Liu;IEEE Trans. Ind. Electron.,2014

3. Survey on data-driven industrial process monitoring and diagnosis;Qin;Annu. Rev. Control,2012

4. The process chemometrics approach to process monitoring and fault detection;Wise;J. Process Control,1996

5. Fault subspace selection approach combined with analysis of relative changes for reconstruction modeling and multifault diagnosis;Zhao;IEEE Trans. Control. Syst. Technol.,2016

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