Remaining Useful Life Prediction Method Enhanced by Data Augmentation and Similarity Fusion
Precise prediction of the remaining useful life (RUL) of rolling bearings is crucial for ensuring the smooth functioning of machinery and minimizing maintenance costs. The time-domain features can reflect the degenerative state of the bearings and reduce the impact of random noise present in the ori...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-06-01
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| Series: | Vibration |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2571-631X/7/2/29 |