@inproceedings{19a218ecfdf04ea5bfb2c87256c82bd3,
title = "Online Fault Detection and Location in Exciter Rotor Windings of the Wound-Rotor Synchronous Starter-Generator Under the Full Process",
abstract = "In this paper, an accurate and timely fault diagnosis method for exciter rotor windings of the wound-rotor synchronous starter-generator (WRRSG) is proposed. Traditional methods are mostly based on the estimation of the rotor current, and cannot detect the fault in both start-up and generation modes. To overcome these difficulties, the proposed method uses the sum of squared stator currents of the main exciter (ME) as the fault information. The ratio of the two adjacent maximum peaks of the fault information is calculated and used in fault detection. Then, the corresponding rotor position where the maximum peak of the fault information occurs is collected to determine the fault location. The experimental results verify the feasibility and effectiveness of the proposed method.",
keywords = "Fault diagnosis, Rotor windings, Starter/Generator, Wound-rotor synchronous machine",
author = "Xinyu Li and Weiguo Liu and Ningfei Jiao and Chenghao Sun and Shuai Mao",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 ; Conference date: 16-10-2023 Through 19-10-2023",
year = "2023",
doi = "10.1109/IECON51785.2023.10311976",
language = "英语",
series = "IECON Proceedings (Industrial Electronics Conference)",
publisher = "IEEE Computer Society",
booktitle = "IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society",
}