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Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019(1)
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A 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:googlescopusDeep Learning-Based Gear Pitting Severity Assessment Using Acoustic Emission, Vibration and Currents Signals
Conference ObjectAbstract: A method for gearbox pitting faults severity classification using Deep Learning techniques is reportPalabras claves:Acoustic Emission, deep learning, Faults detection, gearbox, Long short term memory networksAutores:Diego R. Cabrera, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Ruben Medina MolinaFuentes:scopusGearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals
ArticleAbstract: Fault diagnosis is an effective tool to guarantee safe operations in gearboxes. Acoustic and vibratoPalabras claves:Acoustic Emission, data fusion, deep learning, gearbox, Vibration signalAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Grover Zurita, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Vásquez R.E.Fuentes:googlescopusFault diagnosis in spur gears based on genetic algorithm and random forest
ArticleAbstract: There are growing demands for condition-based monitoring of gearboxes, and therefore new methods toPalabras claves:Fault diagnosis, feature selection, gearbox, Genetic Algorithms, random forest, Wavelet packetsAutores:Artés M., Diego Cabrera Mendieta, Diego R. Cabrera, Grover Zurita, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusMulti-layer neural network with deep belief network for gearbox fault diagnosis
ArticleAbstract: Identifying gearbox damage categories, especially for early faults and combined faults, is a challenPalabras claves:Deep belief network, gearbox, neural network, Vibratory signalAutores:Chen Z.Q., Li C., René-Vinicio Sánchez LojaFuentes: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:googlescopusMultimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis
ArticleAbstract: Gearboxes are crucial transmission components in mechanical systems. Fault diagnosis is an importantPalabras claves:deep learning, Fault diagnosis, gearbox, Multimodal homologous feature, Support vector classificationAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Grover Zurita, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Vásquez R.E.Fuentes:googlescopusVibration-based gearbox fault diagnosis using deep neural networks
ArticleAbstract: Vibration-based analysis is the most commonly used technique to monitor the condition of gearboxes.Palabras claves:deep learning, Fault diagnosis, gearbox, neural network, Vibration signalAutores:Chen X., Chen Z.Q., Li C., Qin H., René-Vinicio Sánchez LojaFuentes:googlescopus