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Anode Analyser

08.04.2026

Rotating anodes are the heart of modern X-ray machines: the necessary X-rays are generated by bombarding them with electrons. During use, so-called burn tracks form on the rotating anode surface – areas where melting, cracks and material detachment can adversely affect the function of the X-ray machine. They are usually replaced at the end of the X-ray machine’s service life and are only reused to a limited extent. In most cases, they are scrapped.

Together with Plansee, the market leader in highly specialised refractory metal products, AIT has now developed an innovative solution for more efficient use: the ‘Anode Analyser’, which for the first time enables systematic recording and assessment of the anode’s condition, combines high-precision imaging techniques that scan the surface of the rotating X-ray anode. The 2D and 3D data obtained is analysed using AI, with wear characteristics being automatically classified.

This new analysis method enables Plansee to accurately assess the operational suitability of used X-ray rotating anodes and, on this sound basis, decide on their further use. This not only saves considerable production costs and energy but also makes an important contribution to sustainability in the operation of X-ray equipment.

“This new dimension of quality assurance allows us to reduce costs, significantly extend the service life of our products and, at the same time, conserve resources,” emphasises Michael Mark , Head of Product Development at Plansee.

The AI-assisted analysis of high-resolution 2D and 3D images makes the wear on X-ray rotating anodes visible – providing a sound basis on which to decide on potential reuse.

For the AIT research team, which specialises in high-performance inspection solutions, the project marks a significant technological milestone: for the first time, the proven Inline Computational Imaging (ICI) technology for fast and precise two- and three-dimensional surface inspection has been successfully applied to rotating metallic objects. Furthermore, an inspection method has been implemented for the first time that captures and combines images at different scales. A machine-learning algorithm automatically displays the detected anomalies in a clear graph as a defect map of the component under examination. Through additional calculations based on the acquired data, specific wear patterns can also be automatically quantified.

To date, there is no comparable solution worldwide for the fully automated analysis of rotating anodes. A system has already been installed at the Plansee plant in Reutte and is being used for further development and testing.

This success opens new opportunities. High-resolution inspection of rotating objects can also be applied in other industrial sectors, such as medical technology or in-line quality inspection, where microscopic defects need to be detected and quantified over large areas.