Electrical Fault Detection
电气故障检测
As modern power systems expand and integrate increasing shares of renewable energy, grid operation has become more complex. Traditional fault detection methods are facing significant challenges in accuracy, speed, and adaptability. This session focuses on early fault perception, precise localization, and intelligent diagnosis of power equipment and systems, covering emerging detection technologies based on signal processing, artificial intelligence, digital twins, and the Internet of Things.
We invite contributions on the following topics: fault identification in transmission lines and cables, partial discharge detection in transformers, fault protection for DC grids and microgrids, and online monitoring systems leveraging edge computing and big data analytics. This session aims to foster deep exchange between academia and industry, facilitate the transition from reactive maintenance to predictive maintenance, and enhance the safety and resilience of power grid operations.
随着新型电力系统规模扩大与新能源接入比例提升，电网运行环境日趋复杂，传统故障检测方法在精度、速度与适应性上面临严峻挑战。本专题聚焦电力设备及系统的早期故障感知、精准定位与智能诊断，涵盖基于信号处理、人工智能、数字孪生及物联网的新型检测技术。
我们欢迎以下研究方向投稿：输电线路与电缆故障识别、变压器局部放电检测、直流电网与微电网故障保护、以及基于边缘计算与大数据分析的在线监测系统。本专题旨在促进学术界与工业界的深度交流，推动从“事后检修”向“预测性维护”的技术跨越，提升电网运行的安全性与韧性。
Special Session Chairs 专题主席：
Yankai Xing, Chengdu University of Technology, China
邢艳凯，成都理工大学
Y. Xing (S’18–M’21) received the B.Sc. and M.Sc. degrees in electrical engineering and its automation from Harbin University of Science and Technology, Harbin, China, in 2013 and 2016, respectively. She received the Ph.D. degree in the same field from École Centrale de Nantes, Nantes, France, in 2021, under the supervision of Prof. Bogdan Marinescu. During her doctoral studies, she participated in research projects with Réseau de Transport d'Électricité (RTE), France.
She is currently a Professor with the Chengdu University of Technology (CDUT), Chengdu, China. Her research interests include renewable power system stability control, renewable energy integration, and intelligent non-contact measurement technologies for power grids.
Ze Yang, Chengdu University of Technology, China
杨泽，成都理工大学
Ze Yang was born in Liaoning, China, on Dec.19, 1994. He received the B.Sc. degree in Electrical Engineering from Dalian University of Technology, China, in 2016. Then he received the PhD degree in Electrical Engineering from Xi’an Jiaotong University. He is currently working with Chengdu University and Technology. He is now engaged in the research of line faults, vacuum arc discharges and non-contact measurement.