Remaining Useful Life Prediction Model for Rolling Bearings Based on MFPE–MACNN

Aiming to resolve the problem of redundant information concerning rolling bearing degradation characteristics and to tackle the difficulty faced by convolutional deep learning models in learning feature information in complex time series, a prediction model for remaining useful life based on multisc...

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Detalles Bibliográficos
Autores principales: Wang, Yaping, Wang, Jinbao, Zhang, Sheng, Xu, Di, Ge, Jianghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9321675/
https://www.ncbi.nlm.nih.gov/pubmed/35885128
http://dx.doi.org/10.3390/e24070905

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9321675/
https://www.ncbi.nlm.nih.gov/pubmed/35885128
http://dx.doi.org/10.3390/e24070905

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