Explainable Remaining Tool Life Prediction for Individualized Production Using Automated Machine Learning

Explainable Remaining Tool Life Prediction for Individualized Production Using Automated Machine Learning

The increasing demand for customized products is a core driver of novel automation concepts in Industry 4.0. For the case of machining complex free-form workpieces, e.g., in die making and mold making, individualized manufacturing is already the industrial practice. The varying process conditions an...

Full description

Bibliographic Details
Main Authors: Lukas Krupp, Christian Wiede, Joachim Friedhoff, Anton Grabmaier
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Sensors
Subjects:
automated machine learning
explainable artificial intelligence
free-form machining
individualized production
remaining useful lifetime
tool condition monitoring
Online Access:https://www.mdpi.com/1424-8220/23/20/8523

Internet

https://www.mdpi.com/1424-8220/23/20/8523

Similar Items