Mostrando 5 resultados de: 5
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Journal of Vibroengineering(2)
Microelectronics Reliability(1)
Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016(1)
Shock and Vibration(1)
Deep neural networks-based rolling bearing fault diagnosis
ArticleAbstract: Rolling bearing is one of the most commonly used components in rotating machinery. It's so easy to bPalabras claves:Deep Belief Networks, Deep boltzmann machines, Fault diagnosis, Rolling bearing, Stacked Auto-EncodersAutores:Chen X., Chen Z.Q., Deng S., Li C., Qin H., René-Vinicio Sánchez LojaFuentes:googlescopusGearbox Fault Identification and Classification with Convolutional Neural Networks
ArticleAbstract: Vibration signals of gearbox are sensitive to the existence of the fault. Based on vibration signalsPalabras claves:Autores:Chen Z.Q., Li C., 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: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:googlescopusRolling bearing fault diagnosis based on deep boltzmann machines
Conference ObjectAbstract: Rolling bearing is one of the most commonly used components in rotating machinery. It is easy to bePalabras claves:Deep boltzmann machines, deep learning, Fault diagnosis, Rolling bearingAutores:Chen Z.Q., Cheng Z., Deng S., Li C., René-Vinicio Sánchez Loja, Yao X.Fuentes:googlescopus