Characterization of Nuclear Fuel Using Multivariate Statistical Analysis PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Characterization of Nuclear Fuel Using Multivariate Statistical Analysis PDF full book. Access full book title Characterization of Nuclear Fuel Using Multivariate Statistical Analysis by . Download full books in PDF and EPUB format.

Characterization of Nuclear Fuel Using Multivariate Statistical Analysis

Characterization of Nuclear Fuel Using Multivariate Statistical Analysis PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 24

Book Description
Various combinations of reactor type and fuel composition have been characterized using principle components analysis (PCA) of the concentrations of 9 U and Pu isotopes in the 10 fuel as a function of burnup. The use of PCA allows the reduction of the 9-dimensional data (isotopic concentrations) into a 3-dimensional approximation, giving a visual representation of the changes in nuclear fuel composition with burnup. Real-world variation in the concentrations of 234U and 236U in the fresh (unirradiated) fuel was accounted for. The effects of reprocessing were also simulated. The results suggest that, 15 even after reprocessing, Pu isotopes can be used to determine both the type of reactor and the initial fuel composition with good discrimination. Finally, partial least squares discriminant analysis (PSLDA) was investigated as a substitute for PCA. Our results suggest that PLSDA is a better tool for this application where separation between known classes is most important.
➤