Advancing RUL prediction in mechanical systems: A hybrid deep learning approach utilizing non-full lifecycle data
Author:
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference54 articles.
1. A multisource dense adaptation adversarial network for fault diagnosis of machinery;Huang;IEEE Trans. Ind. Electron.,2022
2. J.-E. Lee, J.-R. Jiang, Time Series Multi-Channel Convolutional Neural Network for Bearing Remaining Useful Life Estimation, in: Proceedings of the 2019 Ieee Eurasia Conference on Iot, Communication and Engineering, ECICE, 2019, pp. 408–410.
3. Digital twins in condition-based maintenance apps: A case study for train axle bearings;Crespo Marquez;Comput. Ind.,2023
4. A new supervised multi-head self-attention autoencoder for health indicator construction and similarity-based machinery RUL prediction;Qin;Adv. Eng. Inf.,2023
5. Intelligent framework for degradation monitoring, defect identification and estimation of remaining useful life (RUL) of bearing;Kumar;Adv. Eng. Inf.,2023
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1. Remaining Useful Life Prediction Method Enhanced by Data Augmentation and Similarity Fusion;Vibration;2024-06-05
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