Cargando…
A Generative Adversarial Network Based a Rolling Bearing Data Generation Method Towards Fault Diagnosis
As a new generative model, the generative adversarial network (GAN) has great potential in the accuracy and efficiency of generating pseudoreal data. Nowadays, bearing fault diagnosis based on machine learning usually needs sufficient data. If enough near-real data can be generated in the case of in...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300344/ https://www.ncbi.nlm.nih.gov/pubmed/35875772 http://dx.doi.org/10.1155/2022/7592258 |