An Investigation on Attention Mechanism–Based Long Short-Term Memory for Gearbox Fault Diagnosis
The gearbox is widely used in various machines, and their fault diagnosis can reduce unexpected downtime and maintenance costs. Although deep learning networks (DLNs) can automatically extract features from original series data and perform diagnostic analysis, their ability to distinguish complex or...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/vib/8680245 |
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