Cavitation intensity recognition for high-speed axial piston pumps using 1-D convolutional neural networks with multi-channel inputs of vibration signals

Cavitation intensity recognition for high-speed axial piston pumps using 1-D convolutional neural networks with multi-channel inputs of vibration signals

Raising rotational speed is an effective way to improve power density of axial piston pumps, but high rotational speed tends to cause undesirable cavitation in the pump. Although some machine learning methods have been successfully applied to detect the cavitation with high accuracy, these conventio...

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Bibliographic Details
Main Authors: Qun Chao, Jianfeng Tao, Xiaoliang Wei, Yuanhang Wang, Linghui Meng, Chengliang Liu
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:Alexandria Engineering Journal
Subjects:
Axial piston pump
Cavitation
Vibration
1-D convolutional neural network
Multi-channel inputs
Anti-noise
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016820303768

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http://www.sciencedirect.com/science/article/pii/S1110016820303768

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