Comparative study on monitoring schemes for non-Gaussian distributed processes-Reference-Cited by-同舟云学术

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Comparative study on monitoring schemes for non-Gaussian distributed processes

Published:2018-07 Issue: Volume:67 Page:69-82
ISSN:0959-1524
Container-title:Journal of Process Control
language:en
Short-container-title:Journal of Process Control

Author:

Li Gang,Qin S. Joe

Funder

Texas-Wisconsin-California Control Consortium

Center for Interactive Smart Oilfield Technologies

NSFC

SAPI Fundamental Research of Northeastern University of China

Publisher

Elsevier BV

Subject

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

Reference36 articles.

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

2. Review of recent research on data-based process monitoring;Ge;Ind. Eng. Chem. Res.,2013

3. A review on basic data-driven approaches for industrial process monitoring;Yin;IEEE Trans. Ind. Electron.,2014

4. Angle-based multiblock independent component analysis method with a new block dissimilarity statistic for non-gaussian process monitoring;Huang;Ind. Eng. Chem. Res.,2016

5. Stochastic energy scheduling in microgrids with intermittent renewable energy resources;Su;IEEE Trans. Smart Grid,2014

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