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...
| Egile Nagusiak: | , , |
|---|---|
| Formatua: | Artikulua |
| Hizkuntza: | English |
| Argitaratua: |
Public Library of Science (PLoS)
2020-01-01
|
| Saila: | PLoS ONE |
| Sarrera elektronikoa: | https://doi.org/10.1371/journal.pone.0228324 |