Industrial Process Monitoring Based on Parallel Global-Local Preserving Projection with Mutual Information

This paper proposes a parallel monitoring method for plant-wide processes by integrating mutual information and Bayesian inference into a global-local preserving projections (GLPP)-based multi-block framework. Unlike traditional multivariate statistic process monitoring (MSPM) methods, the proposed...

Volledige beschrijving

Bibliografische gegevens

Hoofdauteurs:	Tianshu Wu, Hongpeng Yin, Zhimin Yang, Jie Yao, Yan Qin, Peng Wu
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2023-06-01
Reeks:	Machines
Onderwerpen:	global-local preserving projection mutual information Bayesian inference plant-wide process monitoring
Online toegang:	https://www.mdpi.com/2075-1702/11/6/602
Tags:	Voeg label toe Geen labels, Wees de eerste die dit record labelt!