A comparison of different discriminant analysis techniques in a steel industry welding process
dc.contributor.author | Prats-Montalbán, José M. | |
dc.contributor.author | Ferrer, Alberto | |
dc.contributor.author | Malo, J. L. | |
dc.contributor.author | Gorbeña, J. | |
dc.contributor.institution | Mercado | |
dc.date.accessioned | 2024-07-24T12:05:29Z | |
dc.date.available | 2024-07-24T12:05:29Z | |
dc.date.issued | 2006-01-20 | |
dc.description.abstract | The present work compares several statistical discriminant analysis techniques applied to a steel industry welding process. Data from 85 variables collected from 18,605 links, classified as Good (18,381), Defective (195) or Bad (29) from laboratory analysis, are available. Process engineers want to find out which variables explain the main differences between the three defined types, so they can implement effective action to reduce the percentage of Defective and Bad links. The approaches used are SIMCA, Global PCA, PLS-DA and Fisher's Linear Discriminant Analysis (LDA). The dataset comprises two kinds of variables, one for the chemical properties of the links, and the other related to the welding process. All the above approaches basically lead to the same results and match the ones derived from the more traditional Fisher s Linear Discriminant Analysis (LDA) technique. The pros and cons of the approaches used are discussed. | en |
dc.description.sponsorship | The authors would like to thank to the referees for their helpful comments and suggestions that have improved the consistency of this work. This research was supported by the Spanish Government (Science and Technology Ministry) and the European Union (RDE funds) under the project DPI 2001-2749-C02. The authors want to thank Vicinay Cadenas S.A. for its support, providing the data and sharing its process knowledge. | |
dc.description.status | Peer reviewed | |
dc.format.extent | 11 | |
dc.identifier.citation | Prats-Montalbán , J M , Ferrer , A , Malo , J L & Gorbeña , J 2006 , ' A comparison of different discriminant analysis techniques in a steel industry welding process ' , Chemometrics and Intelligent Laboratory Systems , vol. 80 , no. 1 , pp. 109-119 . https://doi.org/10.1016/j.chemolab.2005.08.005 | |
dc.identifier.doi | 10.1016/j.chemolab.2005.08.005 | |
dc.identifier.issn | 0169-7439 | |
dc.identifier.uri | https://hdl.handle.net/11556/3562 | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=30144441612&partnerID=8YFLogxK | |
dc.language.iso | eng | |
dc.relation.ispartof | Chemometrics and Intelligent Laboratory Systems | |
dc.relation.projectID | European Commission, EC, DPI 2001-2749-C02 | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.subject.keywords | Linear Discriminant Analysis | |
dc.subject.keywords | PCA | |
dc.subject.keywords | PLS-Discriminant Analysis | |
dc.subject.keywords | SIMCA | |
dc.subject.keywords | Welding process | |
dc.subject.keywords | Analytical Chemistry | |
dc.subject.keywords | Software | |
dc.subject.keywords | Computer Science Applications | |
dc.subject.keywords | Process Chemistry and Technology | |
dc.subject.keywords | Spectroscopy | |
dc.title | A comparison of different discriminant analysis techniques in a steel industry welding process | en |
dc.type | journal article |