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1
Tracking Evolution of Stator-based Fault in Induction Machi..:
, In:
2022 25th International Conference on Electrical Machines and Systems (ICEMS)
,
Kumar, Rahul R
;
Randazzo, Vincenzo
;
Cirrincione, Giansalvo
. - p. 1-5 , 2022
Link:
https://doi.org/10.1109/ICEMS56177.2022.9983026
RT T1 <cTitle>2022 25th International Conference on Electrical Machines and Systems (ICEMS)</cTitle>: T1 <Title>Tracking Evolution of Stator-based Fault in Induction Machines using the Growing Curvilinear Component Analysis Neural Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9983026&Exemplar=1&LAN=DE A1 Kumar, Rahul R A1 Randazzo, Vincenzo A1 Cirrincione, Giansalvo A1 Cirrinicone, Maurizio YR 2022 SN 2642-5513 K1 Induction motors K1 Fault detection K1 Neural networks K1 Transforms K1 Stators K1 Feature extraction K1 Real-time systems K1 Park vector K1 diagnosis K1 incremental neural networks K1 principal component analysis K1 stator fault K1 feature engineering K1 dimensionality reduction K1 intrinsic dimensionality SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICEMS56177.2022.9983026 DO https://doi.org/10.1109/ICEMS56177.2022.9983026 SF ELIB - SuUB Bremen
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