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Physics-informed neural networks for predicting gas flow dynamics and unknown parameters in diesel engines
This paper presents a physics-informed neural network (PINN) approach for monitoring the health of diesel engines. The aim is to evaluate the engine dynamics, identify unknown parameters in a “mean value” model, and anticipate maintenance requirements. The PINN model is applied to diesel engines wit...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10444866/ https://www.ncbi.nlm.nih.gov/pubmed/37607951 http://dx.doi.org/10.1038/s41598-023-39989-4 |