Mostrando 3 resultados de: 3
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Publisher
Journal of Vibroengineering(1)
Microelectronics Reliability(1)
Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016(1)
Área de conocimiento
Aprendizaje automático(3)
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: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: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