Funder
National Natural Science Foundation of China
Major Project of Science and Technology of Guangxi Province of China
Interdisciplinary Scientific Research Foundation of Guangxi University
Guangxi Manufacturing Systems and Advanced Manufacturing Technology Key Laboratory Director Fund
Innovation Project of Guangxi Graduate Education
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Applied Mathematics,Mechanical Engineering,Ocean Engineering,Aerospace Engineering,Control and Systems Engineering
Reference46 articles.
1. He, D., Liu, C., Jin, Z., Ma, R., Chen, Y., Shan, S.: Fault diagnosis of flywheel bearing based on parameter optimization variational mode decomposition energy entropy and deep learning. Energy 239, 122108 (2022)
2. Ren, H., Wang, J., Dai, J., Zhu, Z., Liu, J.: Dynamic balanced domain-adversarial networks for cross-domain fault diagnosis of train bearings. IEEE Trans. Instrum. Meas. 71, 1 (2022)
3. Wei, Z., He, D., Jin, Z., Liu, B., Shan, S., Chen, Y., Miao, J.: Density-based affinity propagation tensor clustering for intelligent fault diagnosis of train bogie bearing. IEEE Trans. Intell. Transp. Syst. (2023). https://doi.org/10.1109/TITS.2023.3253087
4. Dang, W., Gao, Z., Sun, X., Li, R., Cai, Q., Grebogi, C.: Multilayer brain network combined with deep convolutional neural network for detecting major depressive disorder. Nonlinear Dyn. 102, 667 (2020)
5. Ding, A., Qin, Y., Wang, B., Jia, L., Cheng, X.: Lightweight multiscale convolutional networks with adaptive pruning for intelligent fault diagnosis of train bogie bearings in edge computing scenarios. IEEE Trans. Instrum. Meas. 72, 1–13 (2023). https://doi.org/10.1109/TIM.2022.3231325
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