Name
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/IECON.2018.8591699 | IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY |
Keywords | Field | DocType |
Detection, Ground fault, Stator winding, Synchronous generators, Wavelet, Shannon Entropy | Power generation system,Control theory,Electromagnetic coil,Wavelet algorithm,Fault (power engineering),Engineering,Stator,Permanent magnet synchronous generator,Wavelet transform,Wavelet | Conference |
ISSN | Citations | PageRank |
1553-572X | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Khaled Al Jaafari | 1 | 0 | 2.37 |
| Amir Negahdari | 2 | 0 | 0.68 |
| Hamid A. Toliyat | 3 | 126 | 26.32 |