Direct projection to latent variable space for fault detection
type: Item
instance of: scholarly article
title: Direct projection to latent variable space for fault detection
zbMATH Open document ID: 1395.93206
author: Jing Hu
author: Chenglin Wen
author: Ping Li
author: Tianqi Yuan
published in: Journal of the Franklin Institute
publication date: 2018-08-15T00:00:00Z
Mathematics Subject Classification ID: 93B40
Mathematics Subject Classification ID: 93E24
Mathematics Subject Classification ID: 62H25
Mathematics Subject Classification ID: 62P30
Mathematics Subject Classification ID: 93-04
zbMATH DE Number: 6918520
zbMATH Keywords: latent variable space
zbMATH Keywords: fault detection
zbMATH Keywords: partial least squares
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2013.10.007
OpenAlex ID: W2006059152
cites work: An LMI approach to design robust fault detection filter for uncertain LTI systems.
cites work: Relative PCA with Applications of Data Compression and Fault Diagnosis
cites work: Principal component analysis.
cites work: Geometric properties of partial least squares for process monitoring
cites work: Multivariate SPC Charts for Monitoring Batch Processes
DOI: 10.1016/J.JFRANKLIN.2013.10.007
description: scientific article; zbMATH DE number 6918520