- Dokumenttyp:
- Zeitschriftenaufsatz
- Autor(en):
- Tnani, Mohamed-Ali ; Subarnaduti, Paul ; Diepold, Klaus
- Titel:
- Efficient Feature Learning Approach for Raw Industrial Vibration Data Using Two-Stage Learning Framework
- Stichworte:
- Article ; feature learning ; CNC machining ; machine monitoring ; machine learning ; few-shot learning ; vibration data ; two-stage learning
- Zeitschriftentitel:
- Sensors
- Jahr:
- 2022
- Band / Volume:
- 22
- Heft / Issue:
- 13
- Volltext / DOI:
- doi:10.3390/s22134813
- Verlag / Institution:
- MDPI
- E-ISSN:
- 1424-8220
- Publikationsdatum:
- 25.06.2022
- CC-Lizenz:
- by, https://creativecommons.org/licenses/by/4.0
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