Synchronous Generators Stator Ground Fault Detection Using Wavelet Theory Conference Paper

abstract

• 2018 IEEE. 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.

name of conference

• IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society

authors

• Toliyat, Hamid

published proceedings

• IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY

author list (cited authors)

• Al Jaafari, K., Negahdari, A., & Toliyat, H. A.

citation count

• 0

complete list of authors

• Al Jaafari, Khaled||Negahdari, Amir||Toliyat, Hamid A

publication date

• October 2018

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• n1553-572XISSN  Journal

keywords

• Detection
• Ground Fault
• Shannon Entropy
• Stator Winding
• Synchronous Generators
• Wavelet

Digital Object Identifier (DOI)

• 10.1109/iecon.2018.8591699

International Standard Book Number (ISBN) 13

• 9781509066841

start page

• 707

end page

• 713

volume

• 1

URL

• https://ieeexplore.ieee.org/xpl/conhome/8560606/proceeding