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...
| Huvudupphovsmän: | , , |
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| Materialtyp: | Artikel |
| Språk: | English |
| Publicerad: |
Public Library of Science (PLoS)
2020-01-01
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| Serie: | PLoS ONE |
| Länkar: | https://doi.org/10.1371/journal.pone.0228324 |