@inproceedings{c04ca5e3aa924ac2b0cb819d6faf7fc5,
title = "Synchronous generators stator ground fault detection using wavelet theory",
abstract = "In this paper, a novel stator ground fault detection method based on wavelet theory is tested on a lab scale synchronous generator. The lab scale setup is used to mimic the real power generation system and to simulate the fault characteristics particularly at or near the generator neutral of large industrial generators. The experimental results prove the capability of the wavelet algorithm in synchronous generators stator winding ground fault detection.",
keywords = "Detection, Ground fault, Shannon Entropy, Stator winding, Synchronous generators, Wavelet",
author = "Jaafari, \{Khaled Al\} and Amir Negahdari and Toliyat, \{Hamid A.\}",
note = "Funding Information: The authors gratefully acknowledge Alliant Energy Corporation for their financial support in building the experimental setup. Publisher Copyright: {\textcopyright} 2018 IEEE.; 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 ; Conference date: 20-10-2018 Through 23-10-2018",
year = "2018",
month = dec,
day = "26",
doi = "10.1109/IECON.2018.8591699",
language = "British English",
series = "Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "707--713",
booktitle = "Proceedings",
address = "United States",
}