Valve Actuator Fault Diagnosis Method Based on EMD and Multi-input Convolutional Neural Network
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-1309-9_106
Reference13 articles.
1. Han, X.: Fault detection of pneumatic control valves based on canonical variate analysis. IEEE Sens. J. 21(12), 13603–13615 (2021)
2. Liang, P., Deng, C.: A semi-supervised fault diagnosis framework for a gearbox based on generative adversarial nets. In: Yang, S., Ali, S.S.A. (eds.) 2018 8th International Conference on Underwater System Technology: Theory and Applications, USYS, pp. 1–4. IEEE, Wuhan (2018)
3. Xu, K.: Rolling bearing fault diagnosis based on empirical mode decomposition and support vector machine. Control Theory Appl. 36(6), 915–922 (2019)
4. Chine, W.: A novel fault diagnosis technique for photovoltaic systems based on arti-ficial neural networks. Renewable Energy 90, 501–512 (2016)
5. Jia, F.: Deep neural networks: a promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data. Mech. Syst. Signal Process. 72, 303–315 (2016)
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