A ResNet-based deep reinforcement learning framework using soft actor-critic for remaining useful life prediction of rolling bearings
Accurately predicting the Remaining Useful Life (RUL) of machinery plays important role for implementing effective predictive maintenance strategies and reducing downtime. However, many existing data-driven approaches rely heavily on supervised learning and treat RUL estimation as a direct regressio...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025028063 |
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