Remaining useful life prediction with uncertainty quantification based on multi-distribution fusion structure
Author:
Funder
Ministry of Science and Technology of the People's Republic of China
Ningbo Municipal Natural Science Foundation
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference40 articles.
1. Physics-informed multi-state temporal frequency network for RUL prediction of rolling bearings;Yang;Reliab Eng Syst Saf,2024
2. An intelligent fault diagnostic method based on 2D-gcforest and L 2, p-PCA under different data distributions;Chen;IEEE Trans Ind Inf,2022
3. In-situ early anomaly detection and remaining useful lifetime prediction for high-power white LEDs with distance and entropy-based long short-term memory recurrent neural networks;Wen;Expert Syst Appl,2024
4. An attention-based temporal convolutional network method for predicting remaining useful life of aero-engine;Zhang;Eng Appl Artif Intell,2024
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