A Spatio-Temporal Attention Mechanism Based Approach for Remaining Useful Life Prediction of Turbofan Engine

The time-series data generated by turbofan engines has a great degree of complexity and dynamics. At present, recurrent neural networks are commonly used to model and forecast the remaining useful life (RUL). The relationship of the sample data is not taken into account, and there are issues such as...

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Detalles Bibliográficos
Autores principales: Peng, Cheng, Wu, Jiaqi, Tang, Zhaohui, Yuan, Xinpan, Li, Changyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9586751/
https://www.ncbi.nlm.nih.gov/pubmed/36275974
http://dx.doi.org/10.1155/2022/9707940

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9586751/
https://www.ncbi.nlm.nih.gov/pubmed/36275974
http://dx.doi.org/10.1155/2022/9707940

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