DocumentCode
3207994
Title
Bayesian neural networks on the inference of distillation product quality
Author
Barbosa, C.Hall ; Melo, B. ; Vellasco, M. ; Pacheco, M. ; Vasconcellos, L.P.
fYear
2002
fDate
2002
Firstpage
113
Abstract
The control of the distillation process in oil refineries requires the evaluation of product quality throughout the operation of the plant. This paper uses Bayesian neural networks, combined to several pre-processing and variable selection techniques, to develop systems for inferencing the quality of distillation products, for REPAR refinery (Refinaria do Parana), operated by PETROBRAS.
Keywords
distillation; inference mechanisms; neural nets; oil refining; process control; quality control; Bayesian neural networks; REPAR refinery; diesel; distillation; inference; oil refinery; process control; quality control; Backpropagation; Bayesian methods; Control theory; Input variables; Neural networks; Neurons; Pattern recognition; Principal component analysis; Rivers; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. SBRN 2002. Proceedings. VII Brazilian Symposium on
Print_ISBN
0-7695-1709-9
Type
conf
DOI
10.1109/SBRN.2002.1181447
Filename
1181447
Link To Document