Sepcial Session

Special Session 3

Intelligent Monitoring, Diagnosis and Design of Power Equipment
“电力装备的智能监测、诊断与设计”

With the rapid development of new power systems and the global energy transition, intelligent power equipment has become the core support for safe, efficient and low-carbon operation of power grids. Traditional power equipment is gradually upgraded with digitalization, artificial intelligence and sensing technologies, giving rise to new theories, methods and engineering applications in this field.
This special session focuses on cutting-edge research and industrial practices of intelligent power equipment. We welcome original research papers, technical reports and application cases covering multiple key directions: online monitoring and intelligent fault diagnosis of power equipment, digital twin and intelligent design technologies for electrical devices, micro-energy harvesting and wireless power transfer for equipment sensing, as well as the innovation and large-scale application of new intelligent switchgear and transmission equipment.
This session aims to gather scholars, engineers and researchers from universities, research institutions and power enterprises worldwide to exchange latest achievements, share practical experiences, and discuss existing challenges and future development trends. We hope to promote academic communication and technological cooperation, and accelerate the industrialization and iteration of intelligent power equipment technologies.

随着新型电力系统建设与全球能源转型加速推进，智能电力装备已成为电网安全、高效、低碳运行的核心支撑。传统电力装备结合数字化、人工智能、传感技术实现全面升级，催生出一系列新理论、新方法与工程应用。本专题聚焦智能电力装备领域前沿研究与产业实践，征集原创研究论文、技术报告及工程应用案例，主要研讨方向包括：电力装备在线监测与智能故障诊断、电力设备数字孪生与智能设计、装备传感端微能量收集与无线能量传输、新型智能开关及输变电装备技术创新与规模化应用等。专题旨在汇聚全球高校、科研院所及电力企业的学者与工程技术人员，交流最新研究成果、分享落地实践经验，探讨行业现存难题与未来发展方向，助力学术交流与技术合作，推动智能电力装备技术的产业化落地与持续迭代。

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Chair: Assoc. Prof. Huan Yuan, Xi’an Jiaotong University, China 

Yuan Huan, male, born in 1992, holds a Doctor of Engineering degree. He is currently an Associate Professor and Doctoral Supervisor at the School of Electrical Engineering, Xi'an Jiaotong University. His main research interests include on-line monitoring and fault diagnosis of power equipment, intelligent design and digital twin technology for power equipment, as well as micro-energy harvesting and wireless power transfer technology.
Dr. Yuan has been selected for the Young Talent Support Program of the China Association for Science and Technology and the Young Talent Support Program of the Shaanxi Association for Science and Technology. He was also awarded the title of "Top Ten Outstanding Young Researchers" by Xi'an Jiaotong University. The relevant technologies have been widely applied in multiple major national power transmission and transformation projects.

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