| Autor: |
Gourishetti, Saichand, Chauhan, Jaydeep, Grollmisch, Sascha, Rohe, Maximilian, Sennewald, Martin, Hildebrand, Jörg, Bergmann, Jean Pierre |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| DOI: |
10.24406/publica-1463 |
| Popis: |
This paper investigates the potential of airborne sound analysis in the human hearing range for automatic defect classification in the arc welding process. We propose a novel sensor setup using microphones and perform several recording sessions under different process conditions. The proposed quality monitoring method using convolutional neural networks achieves 80.5% accuracy in detecting deviations in the arc welding process. This confirms the suitability of airborne analysis and leaves room for improvement in future work. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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