Eddy Current #2
Tracks
Room 411/412
Friday, June 28, 2024 |
10:00 AM - 11:40 AM |
411-412 |
Overview
Chairs: Jiming Song & Yuan Ji
Speaker
Prof. Jiming Song
Professor
Iowa State University
Application of Machine Learning for Model-Assisted Probability of Detection in Eddy Current Non-destructive Testing Systems
Biography
Jiming Song received the Ph.D. in electrical engineering from Michigan State University and was the principal author of Fast Illinois Solver Code. Now he is a professor in Electrical Engineering, Iowa State University, Ames, Iowa. He has co-edited one book and published seven book chapters, 104 journal papers and 186 conference papers.
Dr. Song received the NSF Career Award in 2006. He was selected as a National Research Council/Air Force Summer Faculty Fellow in 2004 and 2005. Dr. Song is an IEEE Fellow and ACES Fellow and an associate editor for Research in Nondestructive Evaluation (RNDE), Nondestructive Testing and Evaluation.
Kyle Rose
Student
Iowa State University CNDE
Applicability of Published Eddy Current Experimentation for Digital Twinning in Industry 4.0.
Biography
Kyle Rose is a PhD student in Electrical Engineering at Iowa State University (ISU) as a Science Mathematics and Research for Transformation (SMART) Retention Scholar for the US Army Combat Capabilities Development Command Armaments Center (DEVCOM-AC) Evaluation Methodologies Laboratory. Kyle holds two B.S. and one M.S. degrees in various engineering fields. His research at the ISU Center for Nondestructive Evaluation (CNDE) involves eddy current inspections in the fourth industry revolution (Industry 4.0).
Trevor Watt
AVID R&D LLC
Dr. Xuhui Huang
Research Assisstant
Michigan State University
A Novel Data-driven Auto Compensation Algorithm for Pulsed Eddy Current Inspection with Internal Cable Effects
Biography
Xuhui Huang is a Ph.D. candidate in Electrical and Computer Engineering at Michigan State University, with a focus on enhancing Nondestructive Testing (NDT) through novel electromagnetic compensation models and deep learning techniques. With significant experience at ARIX Technology and collaboration with ConEdison, Xuhui has developed novel methods for pulsed eddy current inspections and pipe thickness measurement. His work, underpinned by rigorous research and innovative algorithm development, is at the forefront of integrating AI with traditional NDT methods, promising substantial advancements in industrial safety and reliability.