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A Robust Deep Neural Network for Rolling Element Fault Diagnosis under Various Operating and Noisy Conditions
This study proposes a new intelligent diagnostic method for bearing faults in rotating machinery. The method uses a combination of nonlinear mode decomposition based on the improved fast kurtogram, gramian angular field, and convolutional neural network to detect the bearing state of rotating machin...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269328/ https://www.ncbi.nlm.nih.gov/pubmed/35808201 http://dx.doi.org/10.3390/s22134705 |