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Wide Residual Relation Network-Based Intelligent Fault Diagnosis of Rotating Machines with Small Samples
Many existing fault diagnosis methods based on deep learning (DL) require numerous fault samples to train the diagnosis model. However, in industrial applications, rotating machines (RMs) operate in normal states for most of their service life with fault events being rare and thus failure samples ar...
| 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/PMC9185568/ https://www.ncbi.nlm.nih.gov/pubmed/35684782 http://dx.doi.org/10.3390/s22114161 |