IoT device for detecting abnormal vibrations in motors using TinyML
Abstract This paper presents an innovative approach to motor bearing fault detection using TinyML on an IoT device. We developed a system that integrates spectral analysis and deep learning on a resource-constrained edge device, enabling real-time monitoring and anomaly detection. Our method achieve...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-04-01
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| Series: | Discover Internet of Things |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s43926-025-00142-4 |
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