Distributed partial least squares based residual generation for statistical process monitoring-Reference-Cited by-同舟云学术

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Distributed partial least squares based residual generation for statistical process monitoring

Published:2019-03 Issue: Volume:75 Page:77-85
ISSN:0959-1524
Container-title:Journal of Process Control
language:en
Short-container-title:Journal of Process Control

Author:

Tong Chudong^ORCID,Lan Ting,Yu Haizhen,Peng Xin

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

K.C.Wong Magna Fund

Fundamental Research Funds

Alexander von Humboldt Foundation

Publisher

Elsevier BV

Subject

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

Reference31 articles.

1. Bridging data-driven and model-based approaches for process fault diagnosis and health monitoring: a review of researches and future challenges;Tidriri;Annu. Rev. Control,2016

2. Fault detection and isolation in hybrid process systems using a combined data-driven and observer-design methodology;Tong;AIChE J.,2015

3. Perspectives on process monitoring of industrial systems;Severson;Annu. Rev. Control,2016

4. Review on data-driven modeling and monitoring for plant-wide industrial processes;Ge;Chemometr. Intell. Lab. Syst.,2017

5. Process data analytics in the era of big data;Qin;AIChE J.,2014

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