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Generative transfer learning for intelligent fault diagnosis of the wind turbine gearbox
ArticleAbstract: Intelligent fault diagnosis algorithms based on machine learning and deep learning techniques have bPalabras claves:Adversarial training, Domain Adaptation, GaN, Wind turbine gearboxAutores:Chen W., Diego Cabrera Mendieta, Diego R. Cabrera, Guo J., Li C., Long J., Wu J., Zhang S.Fuentes:googlescopusFault diagnosis for rotating machinery using vibration measurement deep statistical feature learning
ArticleAbstract: Fault diagnosis is important for the maintenance of rotating machinery. The detection of faults andPalabras claves:deep learning, Fault diagnosis, Rotating machinery, Statistical feature, Vibration sensorAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Grover Zurita, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusFault diagnosis of wind turbine gearbox based on the optimized LSTM neural network with cosine loss
ArticleAbstract: The gearbox is one of the most fragile parts of a wind turbine (WT). Fault diagnosis of the WT gearbPalabras claves:Cosine loss, gearbox fault, Long short-term memory network, Wind turbineAutores:Li C., René-Vinicio Sánchez Loja, Yan Y., Yin A., Zhang Z.Fuentes:googlescopusMulti-stage feature selection by using genetic algorithms for fault diagnosis in gearboxes based on vibration signal
ArticleAbstract: There are growing demands for condition-based monitoring of gearboxes, and techniques to improve thePalabras claves:Fault diagnosis, feature selection, gearbox, Genetic Algorithms, Neural networks, Vibration signalAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Grover Zurita, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopus