h1

h2

h3

h4

h5
h6
%0 Thesis
%A Andrassy, Bernt
%T Auswerteverfahren für die intelligente Identifikation organischer Stoffe
%C Aachen
%I Publikationsserver der RWTH Aachen University
%M RWTH-CONV-121607
%P II, 140 S. : graph. Darst.
%D 2001
%Z Aachen, Techn. Hochsch., Diss., 2000
%X One way of identifying organic materia is to employ the Near Infrared Spectroscopy. This is done by analysing the absorption spectra of organic compounds in the Near Infrared by means of multivariate statistics. Existing methods for the analysis of organic materia need to be calibrated for every application. In this document an analysis method is described which adapts itself automatically to the organic materia to be identified. This automatic calibration system is called IntellIdent. It enables users even without experience to solve varying identification tasks concerning organic materia. It can therefore be employed in the field of sorting organic materia. IntellIdent uses the chemical similarity of organic compounds calculating global factors by means of the factor analysis. With these global factors the spectrum of almost every organic compound can be reconstructed. A selection process for the three optimal factors for an actual application is introduced. The position of the spectra in the factor space created by these three optimal factors is analysed employing the Mahalanobis Distance. IntellIdent is tested analysing different sorts of plastics, paper, wood and plants as well as contaminated soil.
%F PUB:(DE-HGF)11
%9 Dissertation / PhD Thesis
%U https://publications.rwth-aachen.de/record/59862