A performance-interpretable intelligent fusion of sound and vibration signals for bearing fault diagnosis via dynamic CAME
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangxi Province in China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11071-024-10157-1.pdf
Reference61 articles.
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3. Zhu, R., Chen, Y., Peng, W., et, al,: Bayesian deep-learning for RUL prediction: an active learning perspective. Reliab. Eng. Syst. Saf. 228, 108758 (2022). https://doi.org/10.1016/j.ress.2022.108758
4. Keshun, Y., Guangqi, Q., Yingkui, G.: A 3D Attention-enhanced hybrid neural network for turbofan engine remaining life prediction using CNN and Bi-LSTM models. IEEE Sens. J. 24(14), 21893–21905 (2024). https://doi.org/10.1109/JSEN.2023.3296670
5. Huang, P., Gu, Y., Qiu, G.: A novel feature dimensionality reduction method for gearbox fault diagnosis with HMSDE, DANCo-DDMA and KELM. Nonlinear Dynam. (2024). https://doi.org/10.1007/s11071-024-09829-9
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