title: Multilevel simultaneous component analysis for fault detection in multicampaign process monitoring: application to on-line high performance liquid chromatography of a continuous process.
abstract: A continuous process is monitored by on-line HPLC in four separate campaigns, ranging in duration from 10 to 104 h. Methods are reported that allow the study of variation over all four campaigns using Multilevel Simultaneous Components Analysis, which separates out the within- and between-campaign variation. In order to obtain control charts, Q- and D-statistics are combined with a within-campaign submodel (Simultaneous Components Analysis) to obtain a single model that is based only on within-campaign variation over all four campaigns.
authors.affiliation: Centre for Chemometrics, School of Chemistry, University of Bristol, Cantocks Close, Bristol, UK BS8 1TS.
authors.forename: Diana L S
authors.initials: DL
authors.lastname: Ferreira
authors.forename: Sila
authors.initials: S
authors.lastname: Kittiwachana
authors.forename: Louise A
authors.initials: LA
authors.lastname: Fido
authors.forename: Duncan R
authors.initials: DR
authors.lastname: Thompson
authors.forename: Richard E A
authors.initials: RE
authors.lastname: Escott
authors.forename: Richard G
authors.initials: RG
authors.lastname: Brereton
mesh_terms: D000693:Anaerobiosis / Q000502:physiology; D001419:Bacteria / Q000737:chemistry / Q000378:metabolism; D019149:Bioreactors / Q000382:microbiology; D002851:Chromatography, High Pressure Liquid / Q000379:methods*; D055361:Multilevel Analysis; D021241:Spectrometry, Mass, Electrospray Ionization / Q000379:methods*