Remaining Useful Life Prediction Using Dual-Channel LSTM with Time Feature and Its Difference

At present, the research on the prediction of the remaining useful life (RUL) of machinery mainly focuses on multi-sensor feature extraction and then uses the features to predict RUL. In complex operations and multiple abnormal environments, the impact of noise may result in increased model complexi...

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Detalles Bibliográficos
Autores principales: Peng, Cheng, Wu, Jiaqi, Wang, Qilong, Gui, Weihua, Tang, Zhaohui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778194/
https://www.ncbi.nlm.nih.gov/pubmed/36554221
http://dx.doi.org/10.3390/e24121818

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778194/
https://www.ncbi.nlm.nih.gov/pubmed/36554221
http://dx.doi.org/10.3390/e24121818

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