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Metering Fault Diagnosis Model Based on Deep Feature Fittin..:
, In:
Lecture Notes in Electrical Engineering; The Proceedings of 2023 4th International Symposium on Insulation and Discharge Computation for Power Equipment (IDCOMPU2023)
,
Liang, Lingyu
;
Huang, Wenqi
;
Zhao, Xiangyu
... - p. 617-626 , 2024
Link:
https://doi.org/10.1007/978-981-99-7401-6_56
RT T1
Lecture Notes in Electrical Engineering; The Proceedings of 2023 4th International Symposium on Insulation and Discharge Computation for Power Equipment (IDCOMPU2023)
: T1
Metering Fault Diagnosis Model Based on Deep Feature Fitting Network with Mixture of Experts
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-981-99-7401-6_56&Exemplar=1&LAN=DE A1 Liang, Lingyu A1 Huang, Wenqi A1 Zhao, Xiangyu A1 Jiang, Xiaotao A1 Cao, Shang A1 Zhang, Huanming A1 Hou, Jiaxuan A1 Wang, Xin PB Springer Nature Singapore YR 2024 SP 617 OP 626 LK http://dx.doi.org/https://doi.org/10.1007/978-981-99-7401-6_56 DO https://doi.org/10.1007/978-981-99-7401-6_56 SF ELIB - SuUB Bremen
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