Funder
National Key Research and Development Program
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Reference41 articles.
1. Ai, X., (2013). Rolling element bearings, history. In Encyclopedia of tribology, pp. 2932–2937. https://doi.org/10.1007/978-0-387-92897-5_331.
2. Bezdek, J. C., Reichherzer, T. R., Lim, G. S., & Attikiouzel, Y. (1998). Multiple-prototype classifier design. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 28(1), 67–79. https://doi.org/10.1109/5326.661091.
3. Chen, X., Zhang, B., & Gao, D. (2020). Bearing fault diagnosis base on multi-scale cnn and lstm model. Journal of Intelligent Manufacturing,. https://doi.org/10.1007/s10845-020-01600-2.
4. Gao, Y., Gao, L., Li, X., & Zheng, Y. (2019). A zero-shot learning method for fault diagnosis under unknown working loads. Journal of Intelligent Manufacturing,. https://doi.org/10.1007/s10845-019-01485-w.
5. Gretton, A., Borgwardt, K., Rasch, M., Schölkopf, B., & Smola, A. J. (2007). A kernel method for the two-sample-problem. In: Advances in neural information processing systems, pp. 513–520.
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