Monitoring Flow-Forming Processes Using Design of Experiments and a Machine Learning Approach Based on Randomized-Supervised Time Series Forest and Recursive Feature Elimination

Monitoring Flow-Forming Processes Using Design of Experiments and a Machine Learning Approach Based on Randomized-Supervised Time Series Forest and Recursive Feature Elimination

The machines of WF Maschinenbau process metal blanks into various workpieces using so-called flow-forming processes. The quality of these workpieces depends largely on the quality of the blanks and the condition of the machine. This creates an urgent need for automated monitoring of the forming proc...

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Bibliographic Details
Main Authors: Leroy Anozie, Bodo Fink, Christoph M. Friedrich, Christoph Engels
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
flow forming
metal forming
multi-sensor
time series classification
design of experiments
recursive feature elimination
Online Access:https://www.mdpi.com/1424-8220/24/5/1527

Internet

https://www.mdpi.com/1424-8220/24/5/1527

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