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QNDE 2023 > Program > Short Courses

Short Courses

Start your education journey at QNDE with a deep dive into specific NDE topics that will take place before conference begins.

Sunday, July 23, 2023

Description: In this short course the general principles of artificial intelligence, machine learning, and deep learning will be discussed. The course will describe common modern machine learning architectures such as (1) feedforward neural networks, (2) convolutional neural networks, and (3) recurrent neural networks. The course will discuss how and when these architectures can be applied to NDE problems. The course will also explore cutting-edge topics in artificial intelligence that have great relevance to NDE, including uncertainty quantification and physics-informed learning. Practical examples of these architectures in Python will be shown.


Description: The short course will introduce the concept and general principles for guided wave NDE. Considerations for the choice of guided wave mode and excitation frequency for different applications, taking into account measurement constraints, will be discussed. Examples for damage detection in metallic and composite structures will be presented, including numerical simulation techniques (Finite Element Analysis).