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A Multi-label Support Vector Machine-based Transformer Faul..:
, In:
2023 26th ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter)
,
Shao, Zhimin
;
Shao, Qi
;
Wang, Yong
. - p. 42-46 , 2023
Link:
https://doi.org/10.1109/SNPD-Winter57765.2023.10223954
RT T1 <cTitle>2023 26th ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter)</cTitle>: T1 <Title>A Multi-label Support Vector Machine-based Transformer Fault Prediction Method</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10223954&Exemplar=1&LAN=DE A1 Shao, Zhimin A1 Shao, Qi A1 Wang, Yong A1 Zhang, Junsan YR 2023 K1 Support vector machines K1 Analytical models K1 Machine learning algorithms K1 Correlation K1 Oils K1 Oil insulation K1 Predictive models K1 transformer fault K1 gas analysis K1 support vector machinecomponent SP 42 OP 46 LK http://dx.doi.org/https://doi.org/10.1109/SNPD-Winter57765.2023.10223954 DO https://doi.org/10.1109/SNPD-Winter57765.2023.10223954 SF ELIB - SuUB Bremen
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