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Digital Twin for Training Bayesian Networks for Fault Diagnostics of Manufacturing Systems
Smart manufacturing systems are being advocated to leverage technological advances that enable them to be more resilient to faults through rapid diagnosis for performance assurance. In this paper, we propose a co-simulation approach for engineering digital twins (DTs) that are used to train Bayesian...
| 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/PMC8874643/ https://www.ncbi.nlm.nih.gov/pubmed/35214332 http://dx.doi.org/10.3390/s22041430 |