Scientific Research and Innovation Case Study

In collaboration with the Institute of Electrical Engineering, Chinese Academy of Sciences, an intelligent diagnostic partial discharge tester was developed. Integrating AI algorithms, it achieves fault mode identification, supports full life-cycle health management of transformers, and contributed to a national-level scientific research project winning a provincial/ministerial-level first prize for scientific and technological progress.