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Resumen

 

FAULT DETECTION AND ISOLATION IN INDUSTRIAL PROCESS USING PRINCIPAL COMPONENT ANALYSIS (PCA)

DETECCION Y DIAGNOSTICO DE FALLAS EN PROCESOS INDUSTRIALES UTILIZANDO ANALISIS DE COMPONENTES PRINCIPALES (PCA)
Ing. Florelva Rozo García.
Ph.D. Rocco Tarantino Alvarado.

Abstract: The Multivariate statistical process control is a very useful tool analyzes historical plant data obtained by the monitoring system. The objective of this article is detect faults using multivariate statistical techniques; specifically Principal Component Analysis (PCA).

Resumen: El control de procesos multivariables es muy importante, ya que permite trabajar con datos históricos de plantas obtenidos por un sistema de monitoreo a través del tiempo. El propósito de este artículo es detectar fallas en un proceso continuo
utilizando técnicas estadísticas multivariadas, específicamente el Análisis de Componentes principales (PCA).

Keywords: Principal Component Analysis, Fault Detection,Multivariate control charts.