Continuous monitoring and smart data to detect hidden corrosion
During his participation in the ASNT 2025 event, Brian Pavlakovic, Managing Director of Guided Ultrasonics Ltd., shared the company's latest advances in ultrasonic sensors. GUL, based in London with a presence in the United States and Asia, is globally recognized for developing solutions that use inspection and monitoring technologies for the analysis of metal structures.
From inspection to continuous monitoring
Guided Ultrasonics began by solving a critical problem in the industry: the detection of corrosion under insulation. From there, the company evolved its value proposition toward a continuous monitoring system.
Today, thanks to permanently installed ultrasonic sensors, it is possible to collect data daily without the need for constant human intervention, allowing variations in the condition of pipes and structures to be identified, potential damage to be detected at an early stage, and operational processes to be adjusted before serious failures occur.
Artificial intelligence as an ally of the inspector
One of the topics highlighted by Pavlakovic was the application of artificial intelligence in the interpretation of data obtained through Guided Wave Testing (GWT). Although GUL had already incorporated expert systems into its software, it is currently integrating advanced machine learning models.
These models are trained with historical databases and real results, allowing them to offer recommendations to the inspector about possible defects, similar patterns in previous records, and suggested actions. The goal is not to automate decisions, but to enrich the professional's judgment with reliable, evidence-based information.
Defect simulation for realistic training
GUL has also developed a methodology for inserting simulated defects into real data obtained from the field. Using finite element modeling, they generate representative reflections that simulate critical situations within buried pipes or inaccessible interfaces.
This data is integrated into inspector training programs, facilitating learning based on real cases. In addition, users can practice procedures and recognize signals before facing complex scenarios on site.
Pavlakovic highlighted this approach in his presentation during the event, noting its usefulness in both training and continuous improvement of algorithms.
Extension of inspection intervals
Another significant advantage of using ultrasonic sensors is the ability to extend the intervals between physical inspections. By continuously monitoring critical or high-risk areas, it is possible to infer the overall condition of similar structures in lower-risk locations.
This allows companies to reduce operating costs, minimize unnecessary interventions, and make informed maintenance decisions, since instead of replacing components after damage occurs, action is taken before damage occurs, thus optimizing the useful life of industrial assets.
Strategic vision of a connected future
Brian Pavlakovic's participation in ASNT 2025 made it clear that Guided Ultrasonics is leading the way toward smarter, more efficient, and safer inspection. Its approach combines ultrasonic sensors, artificial intelligence, and a strong investment in technical training, offering solutions that detect corrosion before it becomes a visible problem.
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Source: Inspenet.
