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.

Detalhes bibliográficos
Autor principal:	Dias, Tiago Alexandre Garcia (author)
Formato:	doctoralThesis
Idioma:	eng
Publicado em:	2021
Assuntos:	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
Texto completo:	http://hdl.handle.net/10316/95290
País:	Portugal
Oai:	oai:estudogeral.sib.uc.pt:10316/95290

Descrição
Resumo:	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.