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Diagnosis of broken bars in wind turbine squirrel cage induction generator: Approach based on current signal and generative adversarial networks
ArticleAbstract: To ensure the profitability of the wind industry, one of the most important objectives is to minimizPalabras claves:Artificial Intelligence, Faults diagnostic, synthetic data, Unbalanced datasets, Wind turbineAutores:Alonso-Gómez V., Duque-Pérez O., Hernandez-Callejo L., Yuri Merizalde ZamoraFuentes:scopusMethod of monitoring and detection of failures in PV system based on machine learning
ArticleAbstract: Machine learning methods have been used to solve complicated practical problems in different areas aPalabras claves:Artificial Intelligence, fuentes de energía renovable, Inteligencia Artificial, Monitoring, renewable energy sources, SupervisionAutores:Aguado J.A., Dario Javier Benavides Padilla, Francisco J. Jurado, Hernandez-Callejo L., Luiz G. González, Páúl Arévalo-CorderoFuentes:scopusState of the art and trends in the monitoring, detection and diagnosis of failures in electric induction motors
ReviewAbstract: Despite the complex mathematical models and physical phenomena on which it is based, the simplicityPalabras claves:Artificial Intelligence, Detection and diagnosis, Induction electric motors, Maintenance strategies, Monitoring, Types of faultsAutores:Duque-Pérez O., Hernandez-Callejo L., Yuri MerizaldeFuentes:googlescopus