Bearing Semi-Supervised Anomaly Detection Using Only Normal Data
Bearings are ubiquitous machinery parts. Monitoring and diagnosing their state is essential for reliable functioning. Machine learning techniques are now established tools for anomaly detection. We focus on a less used setup, although a very natural one: the data available for training come only fro...
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| Egile Nagusiak: | , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
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MDPI AG
2025-10-01
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| Saila: | Applied Sciences |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.mdpi.com/2076-3417/15/20/10912 |
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