Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/3796
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Reis, Marco S. | - |
dc.contributor.author | Saraiva, Pedro M. | - |
dc.date.accessioned | 2008-08-29T15:26:34Z | - |
dc.date.available | 2008-08-29T15:26:34Z | - |
dc.date.issued | 2006 | en_US |
dc.identifier.citation | Chemometrics and Intelligent Laboratory Systems. 80:1 (2006) 57-66 | en_US |
dc.identifier.uri | https://hdl.handle.net/10316/3796 | - |
dc.description.abstract | We present an approach for conducting multivariate statistical process control (MSPC) in noisy environments, i.e., when the signal to noise ratio is low, and, furthermore, noise standard deviation (uncertainty) affecting each collected value can vary over time, and is assumingly known. This approach is based upon a latent variable model structure, HLV (standing for heteroscedastic latent variable model), that explicitly integrates information regarding data uncertainty. Moderate amounts of missing data can also be handled in a coherent and fully integrated way through HLV. Several examples show the added value achieved under noisy conditions by adopting such an approach and a case study illustrates its application to a real industrial context of pulp and paper product quality data analysis. | en_US |
dc.description.uri | http://www.sciencedirect.com/science/article/B6TFP-4GX1HVW-2/1/c5e6b0a181b2fb4ffd7803ff38c9dace | en_US |
dc.format.mimetype | aplication/PDF | en |
dc.language.iso | eng | eng |
dc.rights | openAccess | eng |
dc.subject | Multivariate statistical process control | en_US |
dc.subject | Measurement uncertainty | en_US |
dc.subject | Latent variable modelling | en_US |
dc.title | Heteroscedastic latent variable modelling with applications to multivariate statistical process control | en_US |
dc.type | article | en_US |
dc.identifier.doi | 10.1016/j.chemolab.2005.07.002 | - |
uc.controloAutoridade | Sim | - |
item.languageiso639-1 | en | - |
item.grantfulltext | open | - |
item.fulltext | Com Texto completo | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
crisitem.author.researchunit | CIEPQPF – Chemical Process Engineering and Forest Products Research Centre | - |
crisitem.author.researchunit | CIEPQPF – Chemical Process Engineering and Forest Products Research Centre | - |
crisitem.author.parentresearchunit | Faculty of Sciences and Technology | - |
crisitem.author.parentresearchunit | Faculty of Sciences and Technology | - |
crisitem.author.orcid | 0000-0002-4997-8865 | - |
crisitem.author.orcid | 0000-0002-4465-4597 | - |
Appears in Collections: | FCTUC Eng.Química - Artigos em Revistas Internacionais |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
file4fd05163a7e149a0b46f34ede1020b8a.pdf | 259.21 kB | Adobe PDF | View/Open |
SCOPUSTM
Citations
25
checked on Sep 9, 2024
WEB OF SCIENCETM
Citations
23
checked on Sep 2, 2024
Page view(s)
261
checked on Sep 10, 2024
Download(s)
315
checked on Sep 10, 2024
Google ScholarTM
Check
Altmetric
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.