Life prediction and health assessment of aero-engine gas path using digital twin and deep learning
Abstract This study proposes a system for health monitoring and remaining useful life (RUL) prediction of aviation engine gas path that integrates digital twins and deep learning. Addressing the limitations of existing data-driven methods in feature extraction capabilities and dynamic interaction me...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-025-02027-z |
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