Theses and Dissertations
ORCID
https://orcid.org/0000-0001-8112-1899
Issuing Body
Mississippi State University
Advisor
Moorhead, Robert J.
Committee Member
Ball, John E.
Committee Member
Kurum, Mehmet
Committee Member
Gurbuz, Ali
Date of Degree
5-12-2023
Document Type
Dissertation - Open Access
Major
Electrical and Computer Engineering
Degree Name
Doctor of Philosophy (Ph.D)
College
James Worth Bagley College of Engineering
Department
Department of Electrical and Computer Engineering
Abstract
This dissertation is a study of methods to automatedly detect and produce approximations of eddy current differential coil defect signatures in terms of a summed collection of Gaussian functions (SoG). Datasets consisting of varying material, defect size, inspection frequency, and coil diameter were investigated. Dimensionally reduced representations of the defect responses were obtained utilizing common existing reduction methods and novel enhancements to them utilizing SoG Representations. Efficacy of the SoG enhanced representations were studied utilizing common Machine Learning (ML) interpretable classifier designs with the SoG representations indicating significant improvement of common analysis metrics.
Recommended Citation
Earnest, James William, "Eddy current defect response analysis using sum of Gaussian methods" (2023). Theses and Dissertations. 5850.
https://scholarsjunction.msstate.edu/td/5850