Adaptive Res-LSTM Attention-based Remaining Useful Lifetime Prognosis of Rolling Bearings
Predicting the Remaining Useful Lifetime (RUL) of bearings is crucial for the maintenance and reliability of rotating machinery. This paper presents a novel approach utilizing PRONOSTIA and XJTU-SY datasets for RUL prediction. The proposed methodology leverages Synchrosqueezing Wavelet Transform (SS...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Prognostics and Health Management Society
2024-12-01
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| Series: | International Journal of Prognostics and Health Management |
| Subjects: | |
| Online Access: | https://papers.phmsociety.org/index.php/ijphm/article/view/4171 |
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