Outliers detection in industrial databases: An example sulphur recovery process

garces, h; Sbarbaro D.

Keywords: behavior, systems, performance, sulfur, complex, identification, plant, diagnosis, database, recovery, industry, networks, square, sets, statistics, variables, training, data, detection, non-linear, process, analysis, robust, outliers, pls, industrial, methods, regressions, outlier, preprocessing, sulphur, approach, Neural, Partial, Residual, Automatic, Least, operational, On-line, Conventional, dataset, (PLS)

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Título según SCOPUS: Outliers detection in industrial databases: An example sulphur recovery process
Título de la Revista: IFAC Proceedings Volumes
Volumen: 18
Número: PART 1
Editorial: Elsevier
Fecha de publicación: 2011
Página de inicio: 1652
Página final: 1657
Idioma: English
Financiamiento/Sponsor: IFAC
URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-84866759230&partnerID=q2rCbXpz
DOI:

10.3182/20110828-6-IT-1002.02939

Notas: SCOPUS - SCOPUS