A novel dynamic non-Gaussian approach for quality-related fault diagnosis with application to the hot strip mill process
type: Item
instance of: scholarly article
title: A novel dynamic non-Gaussian approach for quality-related fault diagnosis with application to the hot strip mill process
zbMATH Open document ID: 1355.93216
author: Yong-Cai Geng
author: Sumit K. Garg
published in: Journal of the Franklin Institute
publication date: 2017-02-09T00:00:00Z
Mathematics Subject Classification ID: 93E24
Mathematics Subject Classification ID: 90B25
Mathematics Subject Classification ID: 90B30
zbMATH DE Number: 6682462
zbMATH Keywords: non-Gaussian
zbMATH Keywords: quality-related fault diagnosis problem
zbMATH Keywords: process industries
zbMATH Keywords: hot strip mill process (HSMP)
zbMATH Keywords: partial least squares (PLS)-based methods
zbMATH Keywords: independent component analysis (ICA)
describes a project that uses: FastICA
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2016.10.029
OpenAlex ID: W2544577786
cites work: Model-based fault diagnosis techniques. Design schemes, algorithms and tools
cites work: Fault detection and diagnosis in industrial systems
cites work: Finite-horizon \(H_{\infty }\) fault estimation for linear discrete time-varying systems with delayed measurements
cites work: Cooperative control of a nonuniform gantry crane with constrained tension
cites work: Geometric properties of partial least squares for process monitoring
DOI: 10.1016/J.JFRANKLIN.2016.10.029
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description: scientific article; zbMATH DE number 6682462