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...
| Główni autorzy: | , , , |
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| Format: | Artykuł |
| Język: | English |
| Wydane: |
MDPI AG
2023-05-01
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| Seria: | Sensors |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/1424-8220/23/9/4461 |