Intelligent Identification Method of Flow State in Nuclear Main Pump Based on Deep Learning Method
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6187-0_68
Reference15 articles.
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3. Panda, A.K., Rapur, J.S., Tiwari, R.: Prediction of flow blockages and impending cavitation in centrifugal pumps using support vector machine (SVM) algorithms based on vibration measurements. Measurement 130, 44–56 (2018)
4. Shervani-Tabar, M.T., Ettefagh, M.M., Lotfan, S., et al.: Cavitation intensity monitoring in an axial flow pump based on vibration signals using multi-class support vector machine. Proc. Inst. Mech. Eng. C J. Mech. Eng. Sci. 232(17), 3013–3026 (2018)
5. ALTobi, M.A.S., Bevan, G., Ramachandran, K.P.: Fault diagnosis of a centrifugal pump using MLP-GABP and SVM with CWT. Eng. Sci. Technol. 22(3), 854–861 (2019)
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