Our site operations team has been on the move, successfully mobilizing across a diverse range of facilities in Turkiye, Italy and South Korea. These deployments have demonstrated not only our technical capabilities but also our agility in adapting to different environments and client needs. Each location presented unique challenges and opportunities, and our teams meet them with dedication and professionalism.

At the same time, our engineering and innovation units have been operating at full speed. Their work behind the scenes has resulted in significant progress on several new product developments and next-generation solutions. Their creativity and technical depth continue to push the boundaries of what is possible in our industry.

Looking forward, the second half of the year promises to be even more exciting. We are actively preparing for major projects that will take us to new geographies and new partnerships, further expanding our global reach. A significant milestone has already been achieved with the successful acquisition of a new project in Spain, and we are currently in promising discussions across multiple other countries. The momentum is building.

Moreover, we are preparing some major announcements for this summer to fuel our growth. These upcoming updates will reflect not only our technical progress but also our broader vision for the future. We cannot wait to share what is next.

Stay with us as we continue to grow, innovate and deliver impactful solutions to complex industrial challenges. We are just getting started.

Busy First Half – And an even Bigger Future Ahead yazısı ilk önce AIS Field üzerinde ortaya çıktı.

Last week marked a significant milestone for our team as we successfully demonstrated and validated our first AI models in a real-world industrial refinery environment. As part of an ongoing heat exchanger inspection project, we deployed our models on-site to evaluate their performance under real operating conditions.

Over the past year, we have been developing a machine learning–based NDT digital assistant, utilizing over a decade of inspection data collected from industrial facilities around the world. Through extensive research and experimentation, we designed and benchmarked various deep learning architectures, including RNN, LSTM and GRU neural networks, to determine the most effective approaches for heat exchanger eddy current NDT data interpretation.

Our recent validation study focused on eddy current tube inspections of two heat exchangers during a refinery shutdown, both non-ferrous (ASTM B111 UNS C71500 and UNS S32100). Following the data collection phase, we compared the accuracy and speed of analysis and reporting between a human operator and our AI model. The results were outstanding. Our digital assistant, named “AIS X,” accelerated the analysis and reporting process by more than 100%, while maintaining 99% accuracy in defect detection and characterization. All findings were cross-verified with videoscope confirmation.

Encouraged by these results, our team is now working to integrate AI-driven digital assistants into both our robotic platforms and conventional NDT operations, aiming to minimize human error and maximize reliability and efficiency. We have also started exploring potential commercialization pathways for this technology.

In parallel, we are documenting our approach in a scientific paper titled “Development and Comparison of RNN, LSTM, and GRU Neural Network Models for Automated Eddy Current Inspection of Heat Exchanger Tubes Using Real-World Industrial Data,” which will be presented at the BINDT 2024 Conference.

For further insights, explore our latest post on machine learning in NDT: https://aisfield.com/machine-learning-in-non-destructive-testing/

Stay tuned for more updates and innovations from the field!

AIS Field Validates AI-Powered NDT Data Analysis Models in Industrial Refinery Environment yazısı ilk önce AIS Field üzerinde ortaya çıktı.