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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |