Información del artículo
Resumen
Este artículo describe y compara diferentes variantes de la detección de fallos mediante el análisis de componentes principales (PCA). PCA es una técnica estadística multivariante. Se describe como se puede diseñnar un sistema de detección de fallos mediante PCA y los estadísticos que se pueden calcular para construir los gráficos de control que permiten monitorizar el estado del proceso. Los distintos métodos basados en PCA que se comparan en este artículo son: PCA adaptativo (APCA), PCA multi-escala (MSPCA), PCA pesado exponencialmente (EWPCA), PCA con análisis externo (PCAEA) con su variante no lineal y PCA no lineal NLPCA. Para el estudio comparativo se van a valorar diferentes parámetros, tanto cualitativos como cuantitativos.
Palabras clave:
Métodos estadísticos/análisis de señales para Detección y Diagnóstico de Fallos
Monitorización de Procesos/control estadístico de procesos
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