@inproceedings{df9a0eaefece4e61befcf4597446dd5d,
title = "Aircraft DC Arc Fault Detection Approach Based on Sliding Time Window with Peak-to-Peak Value and Spectrum Integration",
abstract = "Arc fault is a serious discharge phenomenon that can damage insulation systems and cause electrical fires. With the development of aircraft towards multi-electrical and all-electrical., the problem of arcing faults in the aircraft will become more and more serious. Therefore, the development of the arc fault detection method in the aircraft electrical system is urgent. An aircraft 270 V and 28 V DC electrical system are built in this paper. Series arc experiments with different type of resistive loads and capacitive loads are carried out. The time and frequency domain fault characteristics of the arc current are analyzed, and a sliding time-window threshold arc fault detection method based on peak-to-peak value and spectrum integration is proposed. The proposed algorithm is validated using the available experimental data, which proves the practicality of the algorithm.",
keywords = "Aircraft, DC arc fault, Fault detection, Spectrum integration",
author = "Junyi Zhang and Qing Xiong and Jianghan Li and Yijie Tang and Xiaoxiao Zhao and Yi Zhuang and Caitong Yue and Shengchang Ji",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 7th IEEE International Electrical and Energy Conference, CIEEC 2024 ; Conference date: 10-05-2024 Through 12-05-2024",
year = "2024",
doi = "10.1109/CIEEC60922.2024.10583244",
language = "英语",
series = "Proceedings of 2024 IEEE 7th International Electrical and Energy Conference, CIEEC 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4309--4314",
booktitle = "Proceedings of 2024 IEEE 7th International Electrical and Energy Conference, CIEEC 2024",
}
