.png){kind=icon}
返回
Multivariate statistical process control in chromatography
.png){kind=icon}
PRE
AI
DOI：10.1016/S0169-7439(97)00054-3.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The need for multivariate statistical process control (MSPC) to check the performance of processes is becoming more important as the increasing number of variables that can be measured increases. In this paper Hotelling's T-2 statistic based on PCA is used for the development of multivariate control charts. The significant principal components (PCs) are used to develop the T-2-chart and the remaining PCs contribute to the congruent to SPE-chart. Results of applying multivariate control charts in chromatography are presented. The application concerns a capillary gas chromatography analysis of the fatty acid composition in BCR162 (soya-maize oil). (C) 1997 Elsevier Science B.V.
Keyword:
multivariate statistical process control
Hotelling's T-2 statistic
principal component analysis
chromatography
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.8
论文数:
4.6K
被引数:
1.2W
机构
暂无机构信息
引用论文
Carboxylic-substituted polymer design strategy enabled halogen-free solvent processed efficient organic solar cells.png)
Polymer
PolymerIF0
PREAI
分享收藏A Reference Matching-Based Temperature Compensation Method for Ultrasonic Guided Wave SignalsSensors
OAAI
SensorsIF0
OAAI分享收藏分享收藏分享收藏 没有更多内容
没有更多内容