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1 Ergebnisse
1
Multiscale Park's Vector Approach for Identifying Early Sta..:
, In:
2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)
,
Chen, Yu
;
Zhao, Shouwang
;
Liang, Feng
... - p. 1-4 , 2023
Link:
https://doi.org/10.1109/ICSMD60522.2023.10491041
RT T1 <cTitle>2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)</cTitle>: T1 <Title>Multiscale Park's Vector Approach for Identifying Early Stator Fault Severity Using MCSA in DFIGs</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10491041&Exemplar=1&LAN=DE A1 Chen, Yu A1 Zhao, Shouwang A1 Liang, Feng A1 Zhang, Sichao A1 Shahbaz, Nadeem A1 Wang, Shuang A1 Zhao, Yong A1 Deng, Wei A1 Cheng, Yonghong YR 2023 K1 Fault diagnosis K1 Fault detection K1 Stator windings K1 Doubly fed induction generators K1 Feature extraction K1 Vectors K1 Generators K1 Doubly Fed Induction Generator K1 Motor Current Signature Analysis (MCSA) K1 Inter-turn Short Circuit K1 Feature Enhancement K1 Fault Severity Assessment SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/ICSMD60522.2023.10491041 DO https://doi.org/10.1109/ICSMD60522.2023.10491041 SF ELIB - SuUB Bremen
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