Real-time AI for manual ultrasonic testing
Tracks
NDT Methods
| Thursday, October 24, 2024 |
| 8:00 AM - 8:30 AM |
| 207/208 - Technical Session |
Details
AI solutions for ultrasonic testing have thus far focused on mechanized setups where analysis is performed after data acquisition. However, a large portion of ultrasonic inspection is performed in real time using manually operated equipment, where the benefits of the new algorithms are not available. With the increasing popularity of advanced scanning techniques like PAUT and PWI-TFM however, it has become viable to perform AI analysis of real-time ultrasonic testing.
In this technical presentation, we present ultrasonic equipment with real-time AI evaluation. We show use cases and cover the maturity level of this new technology and how it will affect the workflow of the future inspector.
In this technical presentation, we present ultrasonic equipment with real-time AI evaluation. We show use cases and cover the maturity level of this new technology and how it will affect the workflow of the future inspector.
Speaker
Oskari Jessen-Juhler
Senior Technical Specialist
Trueflaw
Real-time AI for manual ultrasonic testing
Presentation Description
AI solutions for ultrasonic testing have thus far focused on mechanized setups where analysis is performed after data acquisition. However, a large portion of ultrasonic inspection is performed in real time using manually operated equipment, where the benefits of the new algorithms are not available. With the increasing popularity of advanced scanning techniques like PAUT and PWI-TFM however, it has become viable to perform AI analysis of real-time ultrasonic testing.
In this technical presentation, we present ultrasonic equipment with real-time AI evaluation. We show use cases and cover the maturity level of this new technology and how it will affect the workflow of the future inspector.
In this technical presentation, we present ultrasonic equipment with real-time AI evaluation. We show use cases and cover the maturity level of this new technology and how it will affect the workflow of the future inspector.
Biography
Oskari Jessen-Juhler received his Master’s Degree in Metallic and Ceramic materials from Tampere University of Technology in 2018. In 2023 Jessen-Juhler joined Trueflaw to develop artificial intelligence and ultrasonic system solutions in the field of non-destructive evaluation. He has experience in applying AI analysis to NDE in industries like nuclear and transportation. Previously he has worked four years as a researcher in the NDE field, mainly for nuclear components and materials. He has also worked with NDE of civil engineering and in a nuclear power plant
