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...

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Detalles Bibliográficos
Autores principales: Nath, Kamaljyoti, Meng, Xuhui, Smith, Daniel J., Karniadakis, George Em
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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

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