Dissertation Announcement for James Earnest – 2/22/2023 at 10:30 AM

February 3, 2023

Dissertation Title: Eddy current defect response analysis using sum of Gaussian methods

When: 2/22/2023 10:30AM

Where: https://msstate.webex.com/msstate/j.php?MTID=m4e633a3d3c5cb5e49ca4813dcce3695d

Candidate: James Earnest

Degree: Doctor of Philosophy in Electrical and Computer Engineering

Committee Members: Dr. Robert Moorhead, Dr. John Ball, Dr. Ali Gurbuz, Dr. Mehmet Kurum

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.