Funder
National Natural Science Foundation of China
Shanghai Municipal Science and Technology Major Project
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Reference62 articles.
1. Akkad, K., & He, D. (2023). A dynamic mode decomposition based deep learning technique for prognostics. Journal of Intelligent Manufacturing, 34(5), 2207–2224.
2. Barbieri, M., Nguyen, K. T., Diversi, R., Medjaher, K., & Tilli, A. (2021). RUL prediction for automatic machines: A mixed edge-cloud solution based on model-of-signals and particle filtering techniques. Journal of Intelligent Manufacturing, 32, 1421–1440.
3. Bui, M. H., Tran, T., Tran, A., & Phung, D. (2021). Exploiting domain-specific features to enhance domain generalization. Advances in Neural Information Processing Systems, 34, 21189–21201.
4. Chen, L., Li, Q., Shen, C., Zhu, J., Wang, D., & Xia, M. (2022). Adversarial domain-invariant generalization: A generic domain-regressive framework for bearing fault diagnosis under unseen conditions. IEEE Transactions on Industrial Informatics, 18(3), 1790–1800.
5. Cheng, H., Kong, X., Chen, G., Wang, Q., & Wang, R. (2021). Transferable convolutional neural network based remaining useful life prediction of bearing under multiple failure behaviors. Measurement, 168, 108286.
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