Nov 2022: Section Meeting

New Paradigms in NDE: Data, Model and Learning for NDE 4.0 and beyond

Prof. Yiming Deng, Ph.D.

Associate Professor, 

Nondestructive Evaluation Laboratory (NDEL), 

Department of Electrical and Computer Engineering, Michigan State University

Abstract

It is vitally important that as new manufacturing technologies and new types of materials emerge during the 4th Industry Revolution or Industry 4.0, we have to have viable alternatives for inspecting the resulting product nondestructively. The advances in automation, digitization, digitalization, communication, and artificial intelligence (AI) enabled cyber-physical systems have fostered the new concepts and practices of NDE 4.0.

The presentation will first review the history of NDE from Industry 1.0 to Industry 3.0 (early 2000s), and focus on some NDE 3.0 research work at NDE Laboratory, MSU before 2011. Second, the concepts of integrating data, model and learning for smart NDE techniques that employ multi-sensory data acquisition, communication and processing/computing, uncertainty quantification as well as robotics for characterizing damage in components, which are inherently anisotropic, have complex structural geometries, and are designed to operate in hostile environments. Several recently completed and ongoing research projects at NDEL will be discussed to demonstrate the proposed new NDE 4.0 framework that could possibly enable the next-generation system health management and assure the optimized manufacturing and in-service maintenance.

Short Bio

Prof. Yiming Deng is an Associate Professor in the Nondestructive Evaluation Laboratory, Department of Electrical and Computer Engineering of the College of Engineering, at Michigan State University, USA. Prof. Deng is an Associate Editor of IEEE Transactions on Reliability (IEEE TREL), IEEE Transactions on Magnetics (IEEE TMAG), Research in Nondestructive Evaluation (RNDE), Materials Evaluation (ME), Journal of Prognostics and Health Management (JPHM); Prof. Deng is a Subject Editor of Nondestructive Testing and Evaluation (Taylor & Francis) and Editorial Board Member of Scientific Reports (Nature). He serves as Panelist and Reviewer for National Science Foundation (NSF), US Department of Energy (DOE), US Department of Transportation (DOT), US Department of Defense (DOD), Canada Natural Sciences and Engineering Research Council (NSERC) and over 40 scientific journals. He is Senior Member of IEEE, Member of ASEE, Fellow of ASNT (Class of 2021), MSU AGE Fellow. He is a Research Council member of IEEE and ASNT, International Standing Committee member of ENDE, and TPC members for various international conferences in his field.

Prof. Yiming Deng's current research focuses on NDE for Advanced Manufacturing, NDE 4.0 and 5.0, AI enabled NDE/SHM systems with Uncertainty Quantification (UQ), Statistical Methods in NDE (Causal Inference, Learning).