Track 6

1. Organizers:

Chair: Lecturer Song Wang (王松), Northwest A&F University (西北农林科技大学)

Co-Chair: Assoc. Prof. Hao Qiu (邱浩), Guilin University of Electronic Technology (桂林电子科技大学)

Co-Chair: Lecturer Shuang Wang (王爽), China Three Gorges University (三峡大学)

2. Abstract:

English: With the rapid development of smart grids and renewable energy, electrical equipment is facing increasingly complex operating environments and conditions. Multiphysics coupling analysis and health management have become key technologies to ensure equipment reliability and extend service life. This track will explore the coupling effects of electrical equipment under the influence of multiple physical fields, such as electromagnetic, thermal, and mechanical fields, as well as how to use sensor networks, big data analytics, and artificial intelligence technologies to achieve real-time monitoring, fault diagnosis, and health assessment of equipment. Through these studies, it aims to provide theoretical and technical support for the optimal design, intelligent operation and maintenance, and predictive maintenance of electrical equipment, in order to meet the future grid's needs for intelligent and digital transformation.

中文: 随着智能电网和可再生能源的快速发展，电力设备面临着日益复杂的运行环境和工况。多物理场耦合分析与健康管理已成为保障设备可靠性和延长使用寿命的关键技术。本论坛将探讨电力设备在电磁、热、机械等多物理场作用下的耦合效应，以及如何利用传感器网络、大数据分析和人工智能技术实现设备的实时监测、故障诊断和健康评估。通过这些研究，旨在为电力设备的优化设计、智能运维和预测性维护提供理论和技术支持，以满足未来电网对智能化和数字化转型的需求。

3. Topics:

• o Multiphysics field analysis of power equipment / 电力设备多物理场分析
• o Fault diagnosis of power equipment / 电力设备故障诊断
• o Life assessment of power equipment / 电力设备寿命评估

4. Invited Speakers

• Hailin Li (李海林), Zhengzhou University of Light Industry (郑州轻工业大学)
• Zhenhua Li (李振华), China Three Gorges University (三峡大学)