Role of Machine Learning & AI in NDT
The webinar on machine learning and artificial intelligence in non-destructive testing (NDT) will cover robotic inspection basics, big data digital twins, advanced post-processing techniques, eddy current array testing, and competence management in the NDT industry.
The role of machine learning and AI in NDT webinar will be held from 11 am to 1 pm BST, UK time on 07 May 2024.
This webinar focuses on machine learning (ML) and artificial intelligence (AI) in non-destructive testing (NDT). During this two-hour free webinar, you'll explore various aspects of ML and AI in NDT:
Robotic inspection basics will be covered.
Learn how ML and AI are used in NDT data analysis and defect detection.
Discover the role of ML and AI in path planning and automation for NDT.
Get insights into inspection data visualisation, big data digital twins, and advanced post-processing techniques.
Explore Eddy Current Array Testing as an alternative to Magnetic Particle Inspection and Fluorescent Penetrant Inspection.
Dive into training and competence management in today's NDT industry.
After the presentations, you'll have the chance to participate in a question and answer session and discuss the topics presented.
Meet the experts leading the way in ML and AI in NDT:
Dr. Kai Yang, Senior Project Leader at TWI, specialises in AI, long-range ultrasonic testing, signal processing, and structural health monitoring.
Mengyuan Zhang, a PhD student at BRUNEL University, focuses on leveraging robotic automation technology to enhance the efficiency and cost-effectiveness of NDT.
Nathan Hartley, Team Manager at TWI, brings over 20 years of experience in automation and novel NDT technique development.
Owen Rees-Lloyd, Senior Project Engineer at TWI, specialises in robotic deployment of NDT inspections and eddy current technologies.
Mark Sutcliffe, Consultant in Software, is responsible for developing ultrasonic data acquisition and imaging software solutions using ML and AI algorithms.
