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A digital twin auxiliary approach based on adaptive sparse attention network for diesel engine fault diagnosis
Condition monitoring and fault diagnosis of diesel engines are of great significance for safety production and maintenance cost control. The digital twin method based on data-driven and physical model fusion has attracted more and more attention. However, the existing methods lack deeper integration...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758757/ https://www.ncbi.nlm.nih.gov/pubmed/35027591 http://dx.doi.org/10.1038/s41598-021-04545-5 |