Probabilistic prediction of aero engine remaining useful life based on Bayesian graph attention transformer
The aero engine is crucial for the safe flight of aircraft. Predicting its remaining useful life allows for timely maintenance, thereby preventing potential flight accidents. Deep learning’s powerful data mining capabilities provide a novel approach to predicting the remaining useful life of aero en...
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Main Authors: | , |
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Format: | Article |
Language: | zho |
Published: |
Science Press
2025-02-01
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Series: | 工程科学学报 |
Subjects: | |
Online Access: | http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2024.05.30.003 |
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