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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...
Autores principales: | Wang, Lixiong, Liu, Hanjie, Pan, Zhen, Fan, Dian, Zhou, Ciming, Wang, Zhigang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |
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