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1 Ergebnisse
1
Contrast Feature-Based Approach for Fault Detection in Woun..:
, In:
2022 International Conference on Electrical Machines (ICEM)
,
Ferrucho-Alvarez, Edna R.
;
Taherzadeh, Mehdi
;
Henao, Humberto
.. - p. 670-676 , 2022
Link:
https://doi.org/10.1109/ICEM51905.2022.9910754
RT T1
2022 International Conference on Electrical Machines (ICEM)
: T1
Contrast Feature-Based Approach for Fault Detection in Wound-Rotor Induction Machines
UL https://suche.suub.uni-bremen.de/peid=ieee-9910754&Exemplar=1&LAN=DE A1 Ferrucho-Alvarez, Edna R. A1 Taherzadeh, Mehdi A1 Henao, Humberto A1 Capolino, Gerard-Andre A1 Cabal-Yepez, Eduardo YR 2022 K1 Fault detection K1 Windings K1 Rotors K1 Stator windings K1 Estimation K1 Artificial neural networks K1 Feature extraction K1 Artificial Neural Network K1 Contrast K1 Fault Detection K1 Textural Features K1 Wound-Rotor Induction Machine SP 670 OP 676 LK http://dx.doi.org/https://doi.org/10.1109/ICEM51905.2022.9910754 DO https://doi.org/10.1109/ICEM51905.2022.9910754 SF ELIB - SuUB Bremen
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