Remaining Useful Life Estimation Using Deep Convolutional Generative Adversarial Networks Based on an Autoencoder Scheme

Accurate predictions of remaining useful life (RUL) of important components play a crucial role in system reliability, which is the basis of prognostics and health management (PHM). This paper proposed an integrated deep learning approach for RUL prediction of a turbofan engine by integrating an aut...

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Detalles Bibliográficos
Autores principales: Hou, Guisheng, Xu, Shuo, Zhou, Nan, Yang, Lei, Fu, Quanhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416243/
https://www.ncbi.nlm.nih.gov/pubmed/32802032
http://dx.doi.org/10.1155/2020/9601389

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416243/
https://www.ncbi.nlm.nih.gov/pubmed/32802032
http://dx.doi.org/10.1155/2020/9601389

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