Online Fault Detection and Location in Exciter Rotor Windings of the Wound-Rotor Synchronous Starter-Generator Under the Full Process

Xinyu Li, Weiguo Liu, Ningfei Jiao, Chenghao Sun, Shuai Mao

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society
出版商IEEE Computer Society
ISBN(电子版)9798350331820
DOI
出版状态已出版 - 2023
活动49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 - Singapore, 新加坡
期限: 16 10月 202319 10月 2023

出版系列

姓名IECON Proceedings (Industrial Electronics Conference)
ISSN(印刷版)2162-4704
ISSN(电子版)2577-1647

会议

会议49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023
国家/地区新加坡
Singapore
时期16/10/2319/10/23

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