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1 Ergebnisse
1
Power Transformer Discharge Fault Identification Based on D..:
, In:
2022 4th International Conference on Applied Machine Learning (ICAML)
,
Liu, Meng
;
Lin, Ying
;
Zhu, Qingdong
... - p. 339-344 , 2022
Link:
https://doi.org/10.1109/ICAML57167.2022.00071
RT T1 <cTitle>2022 4th International Conference on Applied Machine Learning (ICAML)</cTitle>: T1 <Title>Power Transformer Discharge Fault Identification Based on Deep Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10056441&Exemplar=1&LAN=DE A1 Liu, Meng A1 Lin, Ying A1 Zhu, Qingdong A1 Yang, Yi A1 Gu, Chao A1 Zhu, Wenbing A1 Zheng, Wengjie YR 2022 K1 Fault diagnosis K1 Deep learning K1 Partial discharges K1 Insulation K1 Systems operation K1 Power system stability K1 Data models K1 power transformer K1 discharge fault identification K1 deep learning K1 convolutional neural network SP 339 OP 344 LK http://dx.doi.org/https://doi.org/10.1109/ICAML57167.2022.00071 DO https://doi.org/10.1109/ICAML57167.2022.00071 SF ELIB - SuUB Bremen
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