Multilevel simultaneous component analysis for fault detection inmulticampaign process monitoring: application to on-line highperformance 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

首页> 外文期刊>The Analyst: The Analytical Journal of the Royal Society of Chemistry: A Monthly International Publication Dealing with All Branches of Analytical Chemistry >Multilevel simultaneous component analysis for fault detection inmulticampaign process monitoring: application to on-line highperformance liquid chromatography of a continuous process

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Multilevel simultaneous component analysis for fault detection inmulticampaign process monitoring: application to on-line highperformance liquid chromatography of a continuous process

机译：用于多活动过程监控中的故障检测的多级同时成分分析：在连续过程在线高效液相色谱中的应用

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A continuous process is monitored by on-line HPLC in four separate campaigns, ranging in durationfrom 10 to 104 h. Methods are reported that allow the study of variation over all four campaigns usingMultilevel Simultaneous Components Analysis, which separates out the within- and between-campaignvariation. In order to obtain control charts, Q- and D-statistics are combined with a within-campaignsubmodel (Simultaneous Components Analysis) to obtain a single model that is based only on within-campaign variation over all four campaigns.

机译：通过在线HPLC在四个单独的过程中监控连续过程，持续时间从10到104小时。据报道，使用多级同时成分分析方法可以研究所有四个运动的变异，该方法可以分离出运动内和运动之间的差异。为了获得控制图，将Q统计量和D统计量与广告系列内子模型（同步成分分析）结合起来，以获得仅基于所有四个活动的广告系列内变化的单个模型。

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《The Analyst: The Analytical Journal of the Royal Society of Chemistry: A Monthly International Publication Dealing with All Branches of Analytical Chemistry》 |2009年第8期|共15页
作者
Diana L. S. Ferreira; Sila Kittiwachana; Louise A. Fido; Duncan R. Thompson; Richard E. A. Escott; Richard G. Brereton;
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正文语种 eng
中图分类分析化学;
关键词
Multilevel; fault detection; application;

机译：多级;故障检测;应用;

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1. Multilevel simultaneous component analysis for fault detection inmulticampaign process monitoring: application to on-line highperformance liquid chromatography of a continuous process [J] . Diana L. S. Ferreira, Sila Kittiwachana, Louise A. Fido, The Analyst: The Analytical Journal of the Royal Society of Chemistry: A Monthly International Publication Dealing with All Branches of Analytical Chemistry . 2009,第8期

机译：用于多活动过程监控中的故障检测的多级同时成分分析：在连续过程在线高效液相色谱中的应用
2. Strategies for continuous on-line high performance liquid chromatography coupled with diode array detection and electrospray tandem mass spectrometry for process monitoring of sulphonated azo dyes and their intermediates in anaerobic-aerobic bioreact [J] . Plum A, Rehorek A Journal of chromatography, A: Including electrophoresis and other separation methods . 2005,第1a2期

机译：连续在线高效液相色谱结合二极管阵列检测和电喷雾串联质谱分析厌氧-好氧生物反应中磺化偶氮染料及其中间体的过程的策略
3. Fault Detection and Monitoring Using Parameters Identification and Principal Component Analysis. Application to Rotary Machines in Skin Pass Process [J] . S. BOUHOUCHE, M. LAHRECHE, S. ZIANI, WSEAS Transactions on Systems . 2006,第8期

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4. LIQUID CHROMATOGRAPHY BASD ON-LINE LIQUID CHROMATOGRAPHY'S ROLE IN PROCESS ANALYTICS [C] . Rick E. Cooley, Mike Doyle Analysis Division Symposium . 2007

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5. Computer-based process monitoring/fault detection using principal component analysis. [D] . Arnold, Chris Scot. 2001

机译：使用主成分分析的基于计算机的过程监视/故障检测。
6. Simultaneous and rapid analysis of chemical preservatives in processed animal products by ultra-performance liquid chromatography [O] . Jwahaeng Park, Sunju Choi, Donghwan Oh, 2018

机译：超高效液相色谱法同时快速分析动物加工产品中的化学防腐剂
7. Fault Detection and Monitoring Using Parameters Identification and Principal Component Analysis. Application to Rotary Machines in Skin Pass Process [O] . 2014

机译：基于参数识别和主成分分析的故障检测与监测。旋转机械在皮肤通过过程中的应用
8. Continuous, On-Line Interface for Reverse-Phase Microbore High-Performance Liquid Chromatography/Diffuse Reflectance Infrared Fourier Transform Analysis [R] . Castles, M. A. , Azarraga, L. V. , Carreira, L. A. 1986

机译：用于反相微孔高效液相色谱/漫反射红外傅立叶变换分析的连续在线界面

Multilevel simultaneous component analysis for fault detection inmulticampaign process monitoring: application to on-line highperformance liquid chromatography of a continuous process

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