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Applied Sciences (Switzerland)(1)
Engineering Applications of Artificial Intelligence(1)
IEEE Transactions on Fuzzy Systems(1)
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Jixie Gongcheng Xuebao/Journal of Mechanical Engineering(1)
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A Review on Neurocomputing Based wind Turbines Fault Diagnosis and Prognosis
Conference ObjectAbstract: Renewable energy, especially wind power energy, has gone through fast growth in the last decade AccoPalabras claves:Artificial Neural, Data-driven approaches, deep learning, Fault diagnosis, Fault prognosis, Machine learning, Wind turbineAutores:Baltazar S., Daniel H., Jose Valante De Oliveira, Li C.Fuentes:scopusA Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis
ReviewAbstract: Bearings are fundamental mechanical components in rotary machines (engines, gearboxes, generators, rPalabras claves:Bearing, fault classification, Fault Detection, Fault diagnosis, Fault prognosis, Fuzzy Clustering, Fuzzy entropy, fuzzy rulesAutores:Diego R. Cabrera, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:scopusA comparison of fuzzy clustering algorithms for bearing fault diagnosis
Conference ObjectAbstract: Bearings are one of the most omnipresent and vulnerable components in rotary machinery such as motorPalabras claves:Bearing, fault classification, Fault Detection, Fault diagnosis, Fcm, FCMFP, Fn-dbscan, Fuzzy Clustering, fuzzy rules, Gustafson-Kessel clusteringAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Ulutagay G.Fuentes:googlescopusA statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions
ArticleAbstract: Gearboxes are crucial devices in rotating power transmission systems with applications in a varietyPalabras claves:classification, Fault diagnosis, feature selection, gearbox, Neural networks, Statistic testsAutores:Artés M., Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusExploiting generative adversarial networks as an oversampling method for fault diagnosis of an industrial robotic manipulator
ArticleAbstract: Data-driven machine learning techniques play an important role in fault diagnosis, safety, and maintPalabras claves:Fault diagnosis, Feature Extraction, Generative Adversarial Network, random forest, Unbalance dataAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, Pu Z., René-Vinicio Sánchez LojaFuentes:googlescopusExtracting repetitive transients for rotating machinery diagnosis using multiscale clustered grey infogram
ArticleAbstract: Local faults of rotating machinery usually result in repetitive transients whose impulsiveness or cyPalabras claves:Fault diagnosis, Multiscale clustered grey infogram, Repetitive transient, Rotating machinery, Spectral negentropyAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusFault Diagnosis for 3D Printers Using Suboptimal Networked Deep Learning
ArticleAbstract: For reliable and cost-saving diagnosis of 3D printer faults, a customer-goods level attitude sensorPalabras claves:3D Printing, BIG DATA, deep learning, Fault diagnosis, Suboptimal networkAutores:Jose Valante De Oliveira, Li C., Zhang S.Fuentes:scopusObserver-biased bearing condition monitoring: From fault detection to multi-fault classification
ArticleAbstract: Bearings are simultaneously a fundamental component and one of the principal causes of failure in roPalabras claves:Bearing, Fault Detection, Fault diagnosis, Fuzzy Clustering, Observer-biased clustering, Wavelets packed transformAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusOne-Shot Fault Diagnosis of Three-Dimensional Printers through Improved Feature Space Learning
ArticleAbstract: Signal acquisition from mechanical systems working in faulty conditions is normally expensive. As aPalabras claves:deep learning, Fault diagnosis, one-shot learning, three-dimensional (3-D) printerAutores:Diego R. Cabrera, Fernando Sancho-Caparrini, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:scopus