Masters Theses
Date of Award
5-2011
Degree Type
Thesis
Degree Name
Master of Science
Major
Electrical Engineering
Major Professor
J. Douglas Birdwell
Committee Members
Tse-Wei Wang, Roger Horn
Abstract
This thesis documents research, methods, and results to satisfy the requirements for the M.S. degree in Electrical Engineering at the University of Tennessee. This thesis explores two primary steps for proper classification of impedance spectra: data dimension reduction and effectiveness of similarity/dissimilarity measure comparison in classification. To understand the data characteristics and classification thresholds, a circuit model analysis for simulation and unclassifiable determination is studied. The research is conducted using previously collected data of complex valued impedance measurements taken from 1844 similar devices. The results show a classification system capable of proper classification of 99% of data samples with well-separated data and approximately 85% using the full range of data available to this research.
Recommended Citation
Sapp, Carl Gordon, "Classification System for Impedance Spectra. " Master's Thesis, University of Tennessee, 2011.
https://trace.tennessee.edu/utk_gradthes/909
MATLAB Source Code
Included in
Biomedical Commons, Electrical and Electronics Commons, Other Electrical and Computer Engineering Commons