Advancing Agricultural Machinery Maintenance: Deep Learning-Enabled Motor Fault Diagnosis
Condition monitoring and fault diagnosis of the agricultural machinery are critical for ensuring the safety and stability of agricultural production processes. Timely detection of machinery failures, particularly in motor-driven systems, is essential to prevent unexpected shutdowns, maintain operati...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11087541/ |
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