On the Stability and Homogeneous Ensemble of Feature Selection for Predictive Maintenance: A Classification Application for Tool Condition Monitoring in Milling

Feature selection (FS) represents an essential step for many machine learning-based predictive maintenance (PdM) applications, including various industrial processes, components, and monitoring tasks. The selected features not only serve as inputs to the learning models but also can influence furthe...

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Detalles Bibliográficos
Autores principales: Assafo, Maryam, Städter, Jost Philipp, Meisel, Tenia, Langendörfer, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181710/
https://www.ncbi.nlm.nih.gov/pubmed/37177665
http://dx.doi.org/10.3390/s23094461

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181710/
https://www.ncbi.nlm.nih.gov/pubmed/37177665
http://dx.doi.org/10.3390/s23094461

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