Multilevel simultaneous component analysis for fault detection in multicampaign process monitoring: application to on-line high performance liquid chromatography of a continuous process

Diana L S Ferreira; Sila Kittiwachana; Louise A Fido; Duncan R Thompson; Richard E A Escott; Richard G Brereton; Diana L Santos Ferreira

doi:10.1039/b905285b

Multilevel simultaneous component analysis for fault detection in multicampaign process monitoring: application to on-line high performance liquid chromatography of a continuous process

Diana L S Ferreira, Sila Kittiwachana, Louise A Fido, Duncan R Thompson, Richard E A Escott, Richard G Brereton, Diana L Santos Ferreira

Research output: Contribution to journal › Article (Academic Journal) › peer-review

15 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1571-85
Number of pages	15
Journal	Analyst
Volume	134
Issue number	8
DOIs	https://doi.org/10.1039/b905285b
Publication status	Published - Aug 2009

Keywords

Anaerobiosis
Bacteria
Bioreactors
Chromatography, High Pressure Liquid
Multilevel Analysis
Spectrometry, Mass, Electrospray Ionization

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Ferreira, D. L. S., Kittiwachana, S., Fido, L. A., Thompson, D. R., Escott, R. E. A., Brereton, R. G., & Santos Ferreira, D. L. (2009). Multilevel simultaneous component analysis for fault detection in multicampaign process monitoring: application to on-line high performance liquid chromatography of a continuous process. Analyst, 134(8), 1571-85. https://doi.org/10.1039/b905285b

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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.",

keywords = "Anaerobiosis, Bacteria, Bioreactors, Chromatography, High Pressure Liquid, Multilevel Analysis, Spectrometry, Mass, Electrospray Ionization",

author = "Ferreira, {Diana L S} and Sila Kittiwachana and Fido, {Louise A} and Thompson, {Duncan R} and Escott, {Richard E A} and Brereton, {Richard G} and {Santos Ferreira}, {Diana L}",

year = "2009",

month = aug,

doi = "10.1039/b905285b",

language = "English",

volume = "134",

pages = "1571--85",

journal = "Analyst",

issn = "0003-2654",

publisher = "Royal Society of Chemistry",

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}

Ferreira, DLS, Kittiwachana, S, Fido, LA, Thompson, DR, Escott, REA, Brereton, RG & Santos Ferreira, DL 2009, 'Multilevel simultaneous component analysis for fault detection in multicampaign process monitoring: application to on-line high performance liquid chromatography of a continuous process', Analyst, vol. 134, no. 8, pp. 1571-85. https://doi.org/10.1039/b905285b

Multilevel simultaneous component analysis for fault detection in multicampaign process monitoring: application to on-line high performance liquid chromatography of a continuous process. / Ferreira, Diana L S; Kittiwachana, Sila; Fido, Louise A et al.
In: Analyst, Vol. 134, No. 8, 08.2009, p. 1571-85.

Research output: Contribution to journal › Article (Academic Journal) › peer-review

TY - JOUR

T1 - Multilevel simultaneous component analysis for fault detection in multicampaign process monitoring

T2 - application to on-line high performance liquid chromatography of a continuous process

AU - Ferreira, Diana L S

AU - Kittiwachana, Sila

AU - Fido, Louise A

AU - Thompson, Duncan R

AU - Escott, Richard E A

AU - Brereton, Richard G

AU - Santos Ferreira, Diana L

PY - 2009/8

Y1 - 2009/8

N2 - 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.

AB - 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.

KW - Anaerobiosis

KW - Bacteria

KW - Bioreactors

KW - Chromatography, High Pressure Liquid

KW - Multilevel Analysis

KW - Spectrometry, Mass, Electrospray Ionization

U2 - 10.1039/b905285b

DO - 10.1039/b905285b

M3 - Article (Academic Journal)

C2 - 20448923

SN - 0003-2654

VL - 134

SP - 1571

EP - 1585

JO - Analyst

JF - Analyst

IS - 8

ER -

Multilevel simultaneous component analysis for fault detection in multicampaign process monitoring: application to on-line high performance liquid chromatography of a continuous process

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Keywords

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