Comprehensive Review of Bearing Currents in Electrical Machines: Mechanisms, Impacts, and Mitigation Techniques
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- Valbério Gonzaga de Araújo & Aziz Oloroun-Shola Bissiriou & Juan Moises Mauricio Villanueva & Elmer Rolando Llanos Villarreal & Andrés Ortiz Salazar & Rodrigo de Andrade Teixeira & Diego Antonio de Mo, 2024. "Monitoring and Diagnosing Faults in Induction Motors’ Three-Phase Systems Using NARX Neural Network," Energies, MDPI, vol. 17(18), pages 1-40, September.
- de Azevedo, Henrique Dias Machado & Araújo, Alex Maurício & Bouchonneau, Nadège, 2016. "A review of wind turbine bearing condition monitoring: State of the art and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 368-379.
- Mingliang Yang & Yuan Cheng & Bochao Du & Yukuan Li & Sibo Wang & Shumei Cui, 2024. "Research on Analysis and Suppression Methods of the Bearing Current for Electric Vehicle Motor Driven by SiC Inverter," Energies, MDPI, vol. 17(5), pages 1-18, February.
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Keywords
bearing current; shaft voltage; common-mode voltage; multi-phase motor systems; pulse width modulation;All these keywords.
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