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Deep Ensemble-Based Classifier for Transfer Learning in Rotating Machinery Fault Diagnosis
ArticleAbstract: Nowadays, intelligent models can correctly detect faults by analysing signals from rotating machinerPalabras claves:deep learning, Fault diagnosis, Rotating machinery, Transfer learning, Vibration signalAutores:Diego R. Cabrera, Drimus A., Duggen L., Fannia Pacheco, Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:scopusGearbox fault diagnosis based on a novel hybrid feature reduction method
ArticleAbstract: The dimensionality reduction of the high-dimensional feature space is a critical part for data preprPalabras claves:Fault diagnosis, Feature reduction, gearbox, Hybrid algorithm, locally linear embedding, Principal Component AnalysisAutores:René-Vinicio Sánchez Loja, Wang Y., Yang S.Fuentes:googlescopusGenerative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery
ArticleAbstract: At present, countless approaches to fault diagnosis in reciprocating machines have been proposed, alPalabras claves:GaN, Imbalanced data, Model selection, random forest, reciprocating machineryAutores:Diego R. Cabrera, Fernando Sancho-Caparrini, Li C., Long J., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Zhang S.Fuentes:scopusSpur Gear Fault Diagnosis Using a Multilayer Gated Recurrent Unit Approach with Vibration Signal
ArticleAbstract: The fault diagnosis of the gearbox is a complex and important work. In this paper, a multilayer gatePalabras claves:Fault diagnosis, gated recurrent unit, robustness, Separability, vibrationAutores:Bai Y., René-Vinicio Sánchez Loja, Tao Y., Wang X., Yang S.Fuentes:googlescopus