Optimization of Adversarial Reprogramming for Transfer Learning on Closed Box Models
In this work, we optimise a transfer learning approach for predicting the Remaining Useful Life (RUL) of ball bearings, particularly in scenarios with limited data availability. Accurate RUL prediction is crucial for improving maintenance strategies, reducing downtime and improving machine reliabili...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10930470/ |
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