Remaining Useful Life Prediction Based on Adaptive SHRINKAGE Processing and Temporal Convolutional Network
The remaining useful life (RUL) prediction is important for improving the safety, supportability, maintainability, and reliability of modern industrial equipment. The traditional data-driven rolling bearing RUL prediction methods require a substantial amount of prior knowledge to extract degraded fe...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2022-11-01
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| Серія: | Sensors |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/1424-8220/22/23/9088 |
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