Combined Approach Using Clustering-Random Forest to Evaluate Partial Discharge Patterns in Hydro Generators
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- Abdullahi Abubakar Mas’ud & Ricardo Albarracín & Jorge Alfredo Ardila-Rey & Firdaus Muhammad-Sukki & Hazlee Azil Illias & Nurul Aini Bani & Abu Bakar Munir, 2016. "Artificial Neural Network Application for Partial Discharge Recognition: Survey and Future Directions," Energies, MDPI, vol. 9(8), pages 1-18, July.
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- Wenrong Si & Weiqiang Yao & Hong Guan & Chenzhao Fu & Yiting Yu & Shiwei Su & Jian Yang, 2021. "Numerical Study of Vibration Characteristics for Sensor Membrane in Transformer Oil," Energies, MDPI, vol. 14(6), pages 1-18, March.
- Jonathan dos Santos Cruz & Fabiano Fruett & Renato da Rocha Lopes & Fabio Luiz Takaki & Claudia de Andrade Tambascia & Eduardo Rodrigues de Lima & Mateus Giesbrecht, 2022. "Partial Discharges Monitoring for Electric Machines Diagnosis: A Review," Energies, MDPI, vol. 15(21), pages 1-31, October.
- Ramon C. F. Araújo & Rodrigo M. S. de Oliveira & Fabrício J. B. Barros, 2022. "Automatic PRPD Image Recognition of Multiple Simultaneous Partial Discharge Sources in On-Line Hydro-Generator Stator Bars," Energies, MDPI, vol. 15(1), pages 1-26, January.
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Keywords
partial discharges; data-mining techniques; hydro generators; clustering algorithms; random forest;All these keywords.
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