Principal Component Analysis (PCA) applied to the statistical control of multivariate processes

Objective: to propose the analysis and monitoring of a chemical process sustained in the theoretical principles of a factorial method cataloged as Principal Component Analysis (PCA), whose ultimate objective is to represent the original variables of the system. Methodology: methodologically the dat...

詳細記述

書誌詳細

主要な著者:	Juan carlos Herrera Vega, Bruno de Jesús Rahmer, German Herrera Vidal
フォーマット:	Artigo
言語:	Espanhol
出版事項:	Universidad Simón Bolivar 2022-02-01
シリーズ:	Investigación e Innovación en Ingenierías
主題:	Control chart statistical process control multivariate analysis Principal Component Analysis (PCA).
オンライン･アクセス:	https://revistas.unisimon.edu.co/index.php/innovacioning/article/view/4972
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