FreqMGCN-Net: An IoT-Integrated Multi-Parallel Graph Convolutional Network with frequency attention for motor bearing fault diagnosis
Motor bearing fault diagnosis is crucial for predictive maintenance in industrial systems. Traditional methods struggle with complex vibration signals, especially under noisy conditions and with limited labeled data. The advent of Internet of Things (IoT) technology enables real-time data collection...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016825006398 |
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