Technical training in NDT with applied artificial intelligence
Non Destructive Testing allows the evaluation of industrial materials, evolving towards digital solutions driven by artificial intelligence and new technologies.
Machine learning for improves accuracy in non-destructive testing
Machine learning enables non-destructive testing methods to deliver faster and more reliable assessments in critical inspection tasks.
The essence of Non-Destructive Testing in modern industry
Early detection of imperfections through Non Destructive Testing is key to ensure safety and reliability in the industry.
Artificial Intelligence (AI) in Remote Visual Inspection (RVI)
Artificial intelligence enables more efficient remote visual inspections, improving industrial safety, reducing costs and generating valuable visual analysis.
Pressure Vessel Inspection: Innovative Standards and Technologies
Essential regulatory and technical aspects for safely inspecting pressure vessels in accordance with current industry standards.
Non-Destructive Testing on bridges and concrete: Key advances
Examines recent methods in non-destructive testing and their contribution to the diagnosis of structural failures.
Consequences of not applying NDT in the oil industry
Non-Destructive Testing (NDT) allows the quality of materials and components to be evaluated without affecting them.
How do Non-Destructive Testing detect the fragility of materials?
Technical analysis of how non-destructive testing detects discontinuities without affecting the integrity of industrial components.
How to avoid disasters in the energy industry: NDT training
Non Destructive Testing is a powerful tool for detecting failures in components of process units in the energy industry.
The cost of ignoring asset integrity in oil & gas pipelines
Pipeline failures due to poor monitoring and maintenance lead to outages, regulatory fines, and unplanned costs in industrial settings.