Development of inferential Models: Prediction of Research Octane Number in Catalytic Reforming Units

Doctoral Thesis in Refining, Petrochemical and Chemical Engineering, presented to the Department of Chemical Engineering, Faculty od Sciences and Technology of the University of Coimbra.

Bibliographic Details
Main Author:	Dias, Tiago Alexandre Garcia (author)
Format:	doctoralThesis
Language:	eng
Published:	2021
Subjects:	Predictive Data Analytics Soft Sensors Research Octane Number Catalytic Reforming Linear Regression Non Linear Regression Análise Preditiva de Dados Índice de Octano Regressão Linear Sensores Artificiais Reformação Catalítica Regressão Não-Linear Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Química
Online Access:	http://hdl.handle.net/10316/95290
Country:	Portugal
Oai:	oai:estudogeral.sib.uc.pt:10316/95290

Description
Summary:	Doctoral Thesis in Refining, Petrochemical and Chemical Engineering, presented to the Department of Chemical Engineering, Faculty od Sciences and Technology of the University of Coimbra.