A Double-Channel Hybrid Deep Neural Network Based on CNN and BiLSTM for Remaining Useful Life Prediction

In recent years, prognostic and health management (PHM) has played an important role in industrial engineering. Efficient remaining useful life (RUL) prediction can ensure the development of maintenance strategies and reduce industrial losses. Recently, data-driven based deep learning RUL prediction...

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Detalles Bibliográficos
Autores principales: Zhao, Chengying, Huang, Xianzhen, Li, Yuxiong, Yousaf Iqbal, Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764061/
https://www.ncbi.nlm.nih.gov/pubmed/33322457
http://dx.doi.org/10.3390/s20247109

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764061/
https://www.ncbi.nlm.nih.gov/pubmed/33322457
http://dx.doi.org/10.3390/s20247109

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