During an interview at the ASNT conference, Brian Pavlakovic, Managing Director of Guided Ultrasonics Ltd. (GUL), discussed the company’s latest advances in the development of long-range predictive inspection and early detection of corrosion under insulation (CUI) technologies.
Predictive inspection with technology and AI
The specialist explained that Guided Ultrasonics, with expertise in the use of guided wave technology, has evolved from performing spot inspections to offering continuous monitoring systems.
We can now leave a sensor installed and connected electronically, collecting data every day to identify variations or damage from the beginning of the corrosion process.
Pavlakovic stated.
Regarding the integration of artificial intelligence and predictive analytics, Pavlakovic noted that the company has improved its models through advanced simulations and real data sets obtained during years of operation and training.
The models are based on machine learning, which allows them to offer recommendations to inspectors without replacing their professional judgment, helping them to interpret results and compare with previous field experiences.
During his participation as a speaker at the event, Pavlakovic presented an innovative methodology that integrates finite element modeling with real pipeline data, inserting simulated defects to analyze their behavior and train both inspectors and interpretation algorithms. “This way professionals can practice their procedures and understand how defects will manifest themselves before encountering them in the field,” he explained.
With these developments, Guided Ultrasonics maintains its reference in the non-destructive inspection sector, promoting solutions that combine remote monitoring, artificial intelligence and technical training, with the aim of improving safety, efficiency and sustainability in the management of industrial assets.
Source and photo: Inspenet / Guide Ultrasonics
