2D-CNN-Based Fault Diagnosis of Internal Leakage in Electro-Hydrostatic Actuators
Author:
Affiliation:
1. Zhejiang Sci-Tech University,Department of Mechanical Engineering,Hangzhou,China
Funder
National Natural Science Foundation of China
National Defense Pre-Research Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9941505/9941739/09942025.pdf?arnumber=9942025
Reference10 articles.
1. A multi-sensor fault detection strategy for axial piston pump using the Walsh transform method
2. A methodology for detection of wear in hydraulic axial piston pumps
3. Fault Diagnosis for Aircraft Hydraulic Systems via One-Dimensional Multichannel Convolution Neural Network
4. Bearing fault diagnosis base on multi-scale CNN and LSTM model
5. Adaptive decision-level fusion strategy for the fault diagnosis of axial piston pumps using multiple channels of vibration signals
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1. Bearing fault diagnosis based on dual-stream CNN using wavelet time-frequency FFT spectrum;International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024);2024-06-13
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