APPLICATION OF A BAYESIAN ESTIMATOR FOR IDENTIFICATION OF EDIBLE OILS ON THE BASIS OF SPECTROPHOTOMETRIC DATA

Journal Title: Metrology and Measurement Systems - Year 2008, Vol 15, Issue 3

Abstract

Spectrophotometric analysis of oil mixtures, containing olive oil, is the subject of this paper. Its objective is to compare a new Bayesian estimator with the constrained least-squares estimator, when applied for estimation of concentrations of components of edible oil mixtures, and to assess its applicability for solving problems of industrial monitoring. The comparison is based on the use of semi-synthetic NIR spectrophotometric data and criteria related to measurement uncertainty.

Authors and Affiliations

ROMAN MORAWSKI, CEZARY NIEDZIŃSKI

Keywords

Related Articles

MEASUREMENTS OF UNSTEADY FLOW PARAMETERS IN PIPE-RECEIVER AND PIPE-TURBOCHARGER SYSTEMS

In the paper, the characteristic features of an unsteady flow in two systems: a high-volume pipe-receiver and a pipe-turbine are described. The tests were made under the conditions of a pulsating pipe supply in the range...

ANALYTICAL MODELLING OF KARMAN VORTEX STREET

A new approach to the Karman vortex street modelling is presented. The model is based on observations of the Karman vortex street. The idea of the model is based on fundamental mechanical formulas. According to the model...

NTERCOMPARISON OF WATER TRIPLE POINT CELLS FROM INTIBS AND INRIM

The triple point of water defines the unit of thermodynamic temperature, kelvin, and is the most important fixed point of the International Temperature Scale of 1990. Several international comparisons of cells for the re...

IMAGE PROCESSING SYSTEM PROPOSED TO BE APPLIED IN A GASTROSCOPIC LABORATORY

The article presents a way to integrate an endoscope with computer equipment. Software has been proposed to archive and access results of endoscopic tests. The data can be accessed at the hospital area and from outside i...

MEASUREMENT OF COMPLEX CONDUCTIVITY IN CARBON NANOTUBE POLYMER COMPOSITES UNDER MECHANICAL SHEAR

We measured the complex conductivity of carbon nanotube-polypropylene composites under mechanical shear conditions. In order to determine how flow alters the properties of these complex fluids we constructed a rheo-diel...

Download PDF file
  • EP ID EP123829
  • DOI -
  • Views 90
  • Downloads 0

How To Cite

ROMAN MORAWSKI, CEZARY NIEDZIŃSKI (2008). APPLICATION OF A BAYESIAN ESTIMATOR FOR IDENTIFICATION OF EDIBLE OILS ON THE BASIS OF SPECTROPHOTOMETRIC DATA. Metrology and Measurement Systems, 15(3), 247-266. https://europub.co.uk/articles/-A-123829