Vibration Fault Diagnosis in Wind Turbines Based on Automated Feature Learning
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- David Pérez Granados & Mauricio Alberto Ortega Ruiz & Joel Moreira Acosta & Sergio Arturo Gama Lara & Roberto Adrián González Domínguez & Pedro Jacinto Páramo Kañetas, 2023. "A Wind Turbine Vibration Monitoring System for Predictive Maintenance Based on Machine Learning Methods Developed under Safely Controlled Laboratory Conditions," Energies, MDPI, vol. 16(5), pages 1-17, February.
- Yanfeng He & Zhijie Guo & Xiang Wang & Waheed Abdul, 2023. "A Hybrid Approach of the Deep Learning Method and Rule-Based Method for Fault Diagnosis of Sucker Rod Pumping Wells," Energies, MDPI, vol. 16(7), pages 1-19, March.
- Stefan Jonas & Dimitrios Anagnostos & Bernhard Brodbeck & Angela Meyer, 2023. "Vibration Fault Detection in Wind Turbines Based on Normal Behaviour Models without Feature Engineering," Energies, MDPI, vol. 16(4), pages 1-16, February.
- Idris Issaadi & Kamel Eddine Hemsas & Abdenour Soualhi, 2023. "Wind Turbine Gearbox Diagnosis Based on Stator Current," Energies, MDPI, vol. 16(14), pages 1-19, July.
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Keywords
wind energy; fault detection and diagnosis; vibration-based condition monitoring; wind turbines; gearboxes; convolutional neural networks;All these keywords.
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