7.1 - Interpretable Machine Learning Algorithm for Bit Damage Detection in a Screwing Process based on Accelerometers
- Event
- 17. Dresdner Sensor-Symposium 2024
2024-11-25 - 2024-11-27
Dresden - Band
- Vortrag
- Chapter
- 7. Smart Sensors
- Author(s)
- J. Schauer, H. El Moutaouakil - Zentrum für Mechatronik und Automatisierungstechnik (ZeMA gGmbH), Saarbrücken/D, P. Goodarzi, A. Schütze, C. Schnur - Universität des Saarlandes, Saarbrücken/D
- Pages
- 70 - 75
- DOI
- 10.5162/17dss2024/7.1
- ISBN
- 978-3-910600-04-1
- Price
- free
Abstract
Machine Learning (ML) and Deep Learning (DL) techniques were introduced in the industrial environment to improve processes and increase efficiency. Especially, in the production industry, assembly and screwing processes represent crucial processing steps [1].