Development of a modelling framework for NIR spectroscopy based on-line analyzers using dimensional reduction techniques and genetic programming

Tibor Kulcsar, J. Abonyi

Research output: Contribution to journalArticle

Abstract

The quality of fuels is determined by several properties (e.g. aromatic components, cloud point, flash point, density etc.). Measurements of these properties are mostly costly and time consuming that makes realtime control infeasible. An affordable option to perform real-time quality control is the application of Near Infra-Red (NIR) spectroscopy based on-line analyzers. Using this tool multiple measurements can be substituted by one measurement combined with a complex prediction model. The two dimensional mapping of the spectral space can be used for monitoring the operation of the production and for the validation of the analyzer. The mapping is based on two aggregates which are mathematical functions combining absorbance values at several wavelengths. We developed a genetic programming based approach to design these aggregates. Results related to the monitoring of diesel fuel blending process illustrate the applicability of the method.

Original languageEnglish
Pages (from-to)1237-1242
Number of pages6
JournalChemical Engineering Transactions
Volume32
DOIs
Publication statusPublished - 2013

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Near infrared spectroscopy
Genetic programming
Monitoring
Diesel fuels
Quality control
Wavelength

ASJC Scopus subject areas

  • Chemical Engineering(all)

Cite this

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