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1 Ergebnisse
1
Condition Assessment of Metal Oxide Surge Arrester Using Ma..:
, In:
2023 IEEE 3rd Applied Signal Processing Conference (ASPCON)
,
Dhar, Joydip
;
Chatterjee, Biswendu
;
Maur, Subhajit
.. - p. 166-170 , 2023
Link:
https://doi.org/10.1109/ASPCON59071.2023.10396141
RT T1
2023 IEEE 3rd Applied Signal Processing Conference (ASPCON)
: T1
Condition Assessment of Metal Oxide Surge Arrester Using Machine Learning Techniques
UL https://suche.suub.uni-bremen.de/peid=ieee-10396141&Exemplar=1&LAN=DE A1 Dhar, Joydip A1 Chatterjee, Biswendu A1 Maur, Subhajit A1 Biswas, Subrata A1 Dalai, Sovan YR 2023 K1 Arresters K1 Metals K1 Feature extraction K1 Pollution measurement K1 Leakage currents K1 Surges K1 Monitoring K1 Metal Oxide Surge Arrester K1 Resistive Leakage Current K1 Condition Monitoring K1 SVM K1 Machine Learning SP 166 OP 170 LK http://dx.doi.org/https://doi.org/10.1109/ASPCON59071.2023.10396141 DO https://doi.org/10.1109/ASPCON59071.2023.10396141 SF ELIB - SuUB Bremen
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