An interpretable hybrid framework combining convolution latent vectors with transformer based attention mechanism for rolling element fault detection and classification
Failure of industrial assets can cause financial, operational and safety hazards across different industries. Monitoring their condition is crucial for successful and smooth operations. The colossal volume of sensory data generated and acquired throughout industrial operations supports real-time con...
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| Main Authors: | Ali Saeed, M. Usman Akram, Muazzam Khattak, M. Belal Khan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-11-01
|
| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024150244 |
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