@inproceedings{e6128dd617984fbca046ac4e2c4f6ed1,
title = "High-Precision Localization Method for GIS Partial Discharge Sources in Complex Environments: Application of Ultrasonic Time Reversal Technology",
abstract = "In the localization of partial discharge (PD) in Gas-Insulated Switchgear (GIS), traditional ultrasonic localization techniques, such as those based on time difference of arrival (TDOA) algorithms, face challenges due to insufficient noise resistance and high measurement accuracy requirements, making them inadequate for precise localization in complex environments. To address these limitations, this study proposes a GIS PD localization method based on ultrasonic time reversal (ATR) technology. A 3-D GIS model is constructed, and finite element simulations are conducted to investigate the focusing characteristics of ATR technology under various conditions. Results demonstrate that ATR technology achieves high-precision PD localization within the complex GIS structure, exhibits strong noise resistance, and significantly enhances localization robustness and accuracy. This method provides an effective solution for PD detection in complex electrical equipment, offering promising application prospects.",
keywords = "GIS, Partial discharge, Time reversal, Ultrasonic localization",
author = "Yulun Chen and Jing Yan and Zhiyuan Liu and Tianxin Zhuang and Ke Zhao",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 1st Electrical Artificial Intelligence Conference, EAIC 2024 ; Conference date: 06-12-2024 Through 08-12-2024",
year = "2025",
doi = "10.1007/978-981-96-4063-8\_33",
language = "英语",
isbn = "9789819640621",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "343--352",
editor = "Ronghai Qu and Zhengxiang Song and Zhiming Ding and Gang Mu and Rui Xiong and Li Han",
booktitle = "Proceedings of the 1st Electrical Artificial Intelligence Conference, EAIC 2024",
}