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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...
Autores principales: | Chen, Lerui, Zhang, Zerui, Cao, Jianfu |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6999895/ https://www.ncbi.nlm.nih.gov/pubmed/32017780 http://dx.doi.org/10.1371/journal.pone.0228324 |
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