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Bearing fault detection in induction motors using the ROCOF..:
, In:
2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)
,
Avalos-Almazan, Gerardo
;
Aguayo-Tapia, Sarahi
;
Rangel-Magdaleno, Jose
. - p. 192-197 , 2023
Link:
https://doi.org/10.1109/SDEMPED54949.2023.10271434
RT T1 <cTitle>2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)</cTitle>: T1 <Title>Bearing fault detection in induction motors using the ROCOF and k-nearest neighbors algorithm</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10271434&Exemplar=1&LAN=DE A1 Avalos-Almazan, Gerardo A1 Aguayo-Tapia, Sarahi A1 Rangel-Magdaleno, Jose A1 Paternina, Mario R.A. YR 2023 K1 Induction motors K1 Philosophical considerations K1 Fault detection K1 Transforms K1 Maintenance engineering K1 Feature extraction K1 Power electronics K1 Rate Of Change Of Frequency K1 Digital Taylor-Fourier Transform K1 bearing fault detection K1 machine learning SP 192 OP 197 LK http://dx.doi.org/https://doi.org/10.1109/SDEMPED54949.2023.10271434 DO https://doi.org/10.1109/SDEMPED54949.2023.10271434 SF ELIB - SuUB Bremen
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