Research on X-ray Non-contact Non-destructive Testing Imaging Technology for Flexible DC Converter Valve Platinum Electrode

By studying the principle of X-ray non-contact nondestructive testing imaging technology, combined with artificial intelligence algorithms such as neural network, big data analysis and edge computing, this paper aims to automatically identify whether the platinum electrode of the flexible DC converter valve has defects (such as broken needles) and automatically calculate the thickness of the scale layer on the surface of the platinum electrode, so as to realize the assessment of the health status of the platinum electrode without disassembly. This technology can not only improve detection efficiency, but also achieve real-time monitoring of electrodes, which helps to detect potential problems in a timely manner and ensure the safe and stable operation of the power system. Through the testing and verification of actual samples, the proposed method has shown effectiveness and accuracy, and has constructive reference value for the short-term and long-term operation and maintenance of equipment.