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Remaining useful lifetime estimation for discrete power electronic devices using physics-informed neural network
Estimation of Remaining Useful Lifetime (RUL) of discrete power electronics is important to enable predictive maintenance and ensure system safety. Conventional data-driven approaches using neural networks have been applied to address this challenge. However, due to ignoring the physical properties...
| 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/PMC10287649/ https://www.ncbi.nlm.nih.gov/pubmed/37349382 http://dx.doi.org/10.1038/s41598-023-37154-5 |