Vibration signature analysis for detecting cavitation in centrifugal pumps using neural networks
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/5958192/5971182/05971192.pdf?arnumber=5971192
Cited by 32 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Random forest-based multi-faults classification modeling and analysis for intelligent centrifugal pump system;Journal of Mechanical Science and Technology;2023-12-16
2. Pump Fault Classification based on Autoencoding Convolutional Neural Network Residuum;2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA);2023-09-12
3. Experimental Comparative Investigations to Evaluate Cavitation Conditions within a Centrifugal Pump Based on Vibration and Acoustic Analyses Techniques;Archives of Acoustics;2023-07-26
4. Hierarchical Cavitation Intensity Recognition Using Sub-Master Transition Network-Based Acoustic Signals in Pipeline Systems;2023
5. Experimental Investigation on Improving Lifetime of Peripheral Pump Impeller under Cavitation Using Different Techniques;International Journal of Heat and Technology;2022-11-30
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