Remaining Useful Life Prognosis for Turbofan Engine Using Explainable Deep Neural Networks with Dimensionality Reduction

This study prognoses the remaining useful life of a turbofan engine using a deep learning model, which is essential for the health management of an engine. The proposed deep learning model affords a significantly improved accuracy by organizing networks with a one-dimensional convolutional neural ne...

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Detalles Bibliográficos
Autores principales: Hong, Chang Woo, Lee, Changmin, Lee, Kwangsuk, Ko, Min-Seung, Kim, Dae Eun, Hur, Kyeon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7699375/
https://www.ncbi.nlm.nih.gov/pubmed/33228051
http://dx.doi.org/10.3390/s20226626

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7699375/
https://www.ncbi.nlm.nih.gov/pubmed/33228051
http://dx.doi.org/10.3390/s20226626

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