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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Bibliografiske detaljer

Principais autores:	Maryam Assafo, Jost Philipp Städter, Tenia Meisel, Peter Langendörfer
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2023-05-01
Serier:	Sensors
Fag:	classification feature selection homogeneous feature selection ensemble predictive maintenance milling sensor fusion
Online adgang:	https://www.mdpi.com/1424-8220/23/9/4461
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