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1 Ergebnisse
1
Detection and Analysis of GIS Discharge Defects Based on De..:
, In:
2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)
,
Ding, Ran
;
Zhao, Ke
;
Teng, Yun
... - p. 706-711 , 2022
Link:
https://doi.org/10.1109/AEEES54426.2022.9759566
RT T1
2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)
: T1
Detection and Analysis of GIS Discharge Defects Based on Deep Learninng Method
UL https://suche.suub.uni-bremen.de/peid=ieee-9759566&Exemplar=1&LAN=DE A1 Ding, Ran A1 Zhao, Ke A1 Teng, Yun A1 Zhuang, Tianxin A1 Liu, Jianjun A1 Yang, Jinggang YR 2022 K1 Partial discharges K1 Substations K1 Neural networks K1 Fault location K1 Inspection K1 Feature extraction K1 Discharges (electric) K1 GIS K1 PD K1 live detection K1 UHF K1 ultrasonic K1 deep learning SP 706 OP 711 LK http://dx.doi.org/https://doi.org/10.1109/AEEES54426.2022.9759566 DO https://doi.org/10.1109/AEEES54426.2022.9759566 SF ELIB - SuUB Bremen
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