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Automatic Anomaly Detection on In-Production Manufacturing Machines Using Statistical Learning Methods
Anomaly detection is becoming increasingly important to enhance reliability and resiliency in the Industry 4.0 framework. In this work, we investigate different methods for anomaly detection on in-production manufacturing machines taking into account their variability, both in operation and in wear...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7219248/ https://ncbi.nlm.nih.gov/pubmed/32326029 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20082344 |
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