A Personalized Federated Learning Fault Diagnosis Method for Inter-client Statistical Characteristic Inconsistency
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6187-0_22
Reference18 articles.
1. Li, X., Wan, S., Liu, S., et al.: Bearing fault diagnosis method based on attention mechanism and multilayer fusion network. ISA Trans. 128, 550–564 (2022)
2. Xu, W.: Research on bearing fault diagnosis base on deep learning. In: International Conference on Artificial Intelligence and Big Data (ICAIBD) (2021)
3. Yang, C., Zhou, F.: Imbalanced bearing fault diagnosis based on adaptive cost-sensitive neural network. In: 2021 China Automation Congress (CAC), pp. 6514–6519 (2021)
4. Yin, S., Ding, S.X., Haghani, A., et al.: A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process. J. Process Control 22(9), 1567–1581 (2012)
5. Mu, R.H., Zeng, X.Q.: A review of deep learning research. KSII Trans. Internet Inf. Syst. 13(4), 1738–1764 (2019)
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