A multi-perspective architecture for high-speed train fault diagnosis based on variational mode decomposition and enhanced multi-scale structure
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/content/pdf/10.1007/s10489-019-01483-8.pdf
Reference35 articles.
1. Chen Z, Li W (2017) Multisensor feature fusion for bearing fault diagnosis using sparse autoencoder and deep belief network. IEEE Trans Instrum Meas 66(7):1693–1702. https://doi.org/10.1109/TIM.2017.2669947
2. Chollet F (2017) Xception: deep learning with depthwise separable convolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 1251–1258
3. Cui Z, Chen W, Chen Y (2016) Multi-Scale Convolutional Neural Networks, for Time Series Classification. arXiv: 1603.06995 [cs]
4. Dragomiretskiy K, Zosso D (2014) Variational Mode Decomposition. IEEE Trans Signal Process 62(3):531–544. https://doi.org/10.1109/TSP.2013.2288675
5. Du J, Jin W, Cai Z, Zhu F, Wu Z (2016) A new feature evaluation algorithm and its application to fault of high-speed railway. In: Proceedings of the Second International Conference on Intelligent Transportation, Smart Innovation, Systems and Technologies. Springer, Singapore, pp 1–14. https://doi.org/10.1007/978-981-10-2398-9_1
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