Author:
Xu Qing,Chen Zhenghua,Ragab Mohamed,Wang Chao,Wu Min,Li Xiaoli
Funder
National Research Foundation of Singapore
National Natural Science Foundation of China
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference44 articles.
1. Y. Cheng, D. Wang, P. Zhou, T. Zhang, A survey of model compression and acceleration for deep neural networks, arXiv preprint arXiv:1710.09282, 2017.
2. A recurrent neural network based health indicator for remaining useful life prediction of bearings;Guo;Neurocomputing,2017
3. M. Ragab, Z. Chen, M. Wu, C.-K. Kwoh, R. Yan, X. Li, Attention sequence to sequence model for machine remaining useful life prediction, arXiv preprint arXiv:2007.09868, 2020.
4. L. Ren, Y. Liu, X. Wang, J. Lü, M.J. Deen, Cloud-edge based lightweight temporal convolutional networks for remaining useful life prediction in iiot, IEEE Internet Things J. (2020).
5. S. Zheng, K. Ristovski, A. Farahat, C. Gupta, Long short-term memory network for remaining useful life estimation, in: 2017 IEEE International Conference on Prognostics and Health Management (ICPHM), IEEE, 2017, pp. 88–95
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