Remaining Useful Life Estimation of Aircraft Engines Using a Joint Deep Learning Model Based on TCNN and Transformer

The remaining useful life estimation is a key technology in prognostics and health management (PHM) systems for a new generation of aircraft engines. With the increase in massive monitoring data, it brings new opportunities to improve the prediction from the perspective of deep learning. Therefore,...

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Detalles Bibliográficos
Autores principales: Wang, Hai-Kun, Cheng, Yi, Song, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635935/
https://www.ncbi.nlm.nih.gov/pubmed/34868292
http://dx.doi.org/10.1155/2021/5185938

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635935/
https://www.ncbi.nlm.nih.gov/pubmed/34868292
http://dx.doi.org/10.1155/2021/5185938

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