Hybrid Machine Learning for CNC Process Monitoring

Hybrid Machine Learning for CNC Process Monitoring

The transition to highly customized, one-off production in modern manufacturing necessitates sophisticated process monitoring to reduce waste, minimize downtime, and alleviate operator burden. Computer Numerically Controlled (CNC) axes represent a fundamental component of automated manufacturing and...

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Bibliographic Details
Main Authors: Robin Strobel, Samuel Deucker, Hanlin Zhou, Hafez Kader, Alexander Puchta, Benjamin Noack, Jurgen Fleischer
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Machine tool
CNC
process monitoring
signal prediction
machine learning
Online Access:https://ieeexplore.ieee.org/document/11015456/
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https://ieeexplore.ieee.org/document/11015456/

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