Hierarchical RUL Prediction for Turbofan Engines Based on Health Stage Classification and Change Point-Guided Data Augmentation
In prognostics, it is essential to accurately predict the Remaining Useful Life (RUL) of complex systems like turbofan engines. Most studies adopt data-driven methods and rely on piecewise linear (PwL) labeling, where a fixed initial RUL is assigned to all engines. To better reflect real-world degra...
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| Main Author: | |
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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/11097279/ |
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