Anomaly classification in IIoT edge devices
An early Industrial Internet of Things (IIoT) Anomaly Detection reduces maintenance costs, minimizes machine downtime, increases safety, and improves product quality. A multi-class classifier that detects events, failures, or attacks is much more efficient than a simple binary classifier, as it rel...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad de Antioquia
2025-03-01
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| Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
| Subjects: | |
| Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/356269 |
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