Long Short-Term Memory Neural Network with Transfer Learning and Ensemble Learning for Remaining Useful Life Prediction

Prediction of remaining useful life (RUL) is greatly significant for improving the safety and reliability of manufacturing equipment. However, in real industry, it is difficult for RUL prediction models trained on a small sample of faults to obtain satisfactory accuracy. To overcome this drawback, t...

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Detalles Bibliográficos
Autores principales: Wang, Lixiong, Liu, Hanjie, Pan, Zhen, Fan, Dian, Zhou, Ciming, Wang, Zhigang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371238/
https://www.ncbi.nlm.nih.gov/pubmed/35957301
http://dx.doi.org/10.3390/s22155744

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371238/
https://www.ncbi.nlm.nih.gov/pubmed/35957301
http://dx.doi.org/10.3390/s22155744

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