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A Novel Fault Diagnosis Method for Denoising Autoencoder Assisted by Digital Twin
Digital twin (DT) is an important method to realize intelligent manufacturing. Traditional data-based fault diagnosis methods such as fractional-order fault feature extraction methods require sufficient data to train a diagnosis model, which is unrealistic in a dynamically changing production proces...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334121/ https://www.ncbi.nlm.nih.gov/pubmed/35909837 http://dx.doi.org/10.1155/2022/5077134 |