A Machining State-Based Approach to Tool Remaining Useful Life Adaptive Prediction

The traditional predictive model for remaining useful life predictions cannot achieve adaptiveness, which is one of the main problems of said predictions. This paper proposes a LightGBM-based Remaining useful life (RUL) prediction method which considers the process and machining state. Firstly, a mu...

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Detalles Bibliográficos
Autores principales: Li, Yiming, Meng, Xiangmin, Zhang, Zhongchao, Song, Guiqiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729808/
https://www.ncbi.nlm.nih.gov/pubmed/33291327
http://dx.doi.org/10.3390/s20236975

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729808/
https://www.ncbi.nlm.nih.gov/pubmed/33291327
http://dx.doi.org/10.3390/s20236975

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