Spatial-Temporal Attention Graph Neural Network with Uncertainty Estimation for Remaining Useful Life Prediction
Author:
Affiliation:
1. University of Kassel,Intelligent Embedded Systems,Kassel,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650622.pdf?arnumber=10650622
Reference33 articles.
1. A Bayesian Inference for Remaining Useful Life Estimation by Fusing Accelerated Degradation Data and Condition Monitoring Data
2. Spatio-temporal graph convolutional neural network for remaining useful life estimation of aircraft engines
3. Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction
4. A RUL calculation approach based on physical-based simulation models for predictive maintenance
5. Degradations analysis and aging modeling for health assessment and prognostics of PEMFC
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