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dTASD: A Novel Online Detection Method for Anomalous State ..:
, In:
2020 IEEE International Conference on Energy Internet (ICEI)
,
Wang, Chao
;
Wang, Zhaoguo
;
Tao, Lei
... - p. 115-120 , 2020
Link:
https://doi.org/10.1109/ICEI49372.2020.00029
RT T1 <cTitle>2020 IEEE International Conference on Energy Internet (ICEI)</cTitle>: T1 <Title>dTASD: A Novel Online Detection Method for Anomalous State of Dry-type Transformer</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9270246&Exemplar=1&LAN=DE A1 Wang, Chao A1 Wang, Zhaoguo A1 Tao, Lei A1 Ye, Ruili A1 Wang, Yan A1 Xie, Lin A1 Xue, Yibo YR 2020 K1 Monitoring K1 Oil insulation K1 Temperature measurement K1 Power transformer insulation K1 Windings K1 Self-organizing feature maps K1 Training K1 Dry-type Transformer K1 Anomalous State Detection K1 Monitoring Indicator K1 Anomaly Score SP 115 OP 120 LK http://dx.doi.org/https://doi.org/10.1109/ICEI49372.2020.00029 DO https://doi.org/10.1109/ICEI49372.2020.00029 SF ELIB - SuUB Bremen
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