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1 Ergebnisse
1
Partial Discharge Classification from Highly Noise-contamin..:
, In:
2020 8th International Conference on Condition Monitoring and Diagnosis (CMD)
,
Sasaya, Tenta
;
Watanabe, Takashi
;
Ono, Toshiyuki
... - p. 39-42 , 2020
Link:
https://doi.org/10.1109/CMD48350.2020.9287200
RT T1 <cTitle>2020 8th International Conference on Condition Monitoring and Diagnosis (CMD)</cTitle>: T1 <Title>Partial Discharge Classification from Highly Noise-contaminated Data Using Cascaded Two Neural Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9287200&Exemplar=1&LAN=DE A1 Sasaya, Tenta A1 Watanabe, Takashi A1 Ono, Toshiyuki A1 Ida, Takashi A1 Nakamura, Yusuke A1 Fujii, Yuuki A1 Banno, Kozo A1 Takano, Toshiya YR 2020 SN 2644-271X K1 Partial discharges K1 Noise reduction K1 Sensor phenomena and characterization K1 Pollution measurement K1 Reliability K1 Tuning K1 Signal to noise ratio K1 neural network K1 partial discharge classification K1 transient earth voltage sensor SP 39 OP 42 LK http://dx.doi.org/https://doi.org/10.1109/CMD48350.2020.9287200 DO https://doi.org/10.1109/CMD48350.2020.9287200 SF ELIB - SuUB Bremen
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