Feature selection for multivariate contribution analysis in fault detection and isolation
type: Item
instance of: scholarly article
title: Feature selection for multivariate contribution analysis in fault detection and isolation
zbMATH Open document ID: 1441.93063
author: F. A. Boldt
author: C. J. Munaro
author: Thomas Rauber
published in: Journal of the Franklin Institute
publication date: 2020-06-30T00:00:00Z
Mathematics Subject Classification ID: 93B35
Mathematics Subject Classification ID: 62P30
zbMATH DE Number: 7216205
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2020.03.005
OpenAlex ID: W3012351477
cites work: Fault detection and diagnosis in industrial systems
cites work: Solving fault diagnosis problems. Linear synthesis techniques
cites work: Reconstruction-based contribution for process monitoring
cites work: Probabilistic Principal Component Analysis
cites work: Q5341273
cites work: Mathematics for Machine Learning
cites work: 10.1162/153244303322753616
cites work: Computational Methods of Feature Selection
DOI: 10.1016/J.JFRANKLIN.2020.03.005
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description: scientific article; zbMATH DE number 7216205