Detection and diagnosis of fault bearing using wavelet packet transform and neural network
Bearings, considered crucial components in rotating machinery, are widely used in the industry. Bearing status monitoring has become an essential step in the deployment of preventive maintenance policy. This work is part of the diagnosis and classification of bearing defects by vibration analysis of...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Gruppo Italiano Frattura
2019-07-01
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| Series: | Fracture and Structural Integrity |
| Subjects: | |
| Online Access: | https://www.fracturae.com/index.php/fis/article/view/2399/2546 |
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