A novel method of combining generalized frequency response function and convolutional neural network for complex system fault diagnosis.

To solve the problem of low accuracy in traditional fault diagnosis methods, a novel method of combining generalized frequency response function(GFRF) and convolutional neural network(CNN) is proposed. In order to accurately characterize system state information, this paper proposed a variable step...

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Autors principals: Lerui Chen, Zerui Zhang, Jianfu Cao
Format: Article
Idioma:English
Publicat: Public Library of Science (PLoS) 2020-01-01
Col·lecció:PLoS ONE
Accés en línia:https://doi.org/10.1371/journal.pone.0228324