A Graph Isomorphic Network with Attention Mechanism for Intelligent Fault Diagnosis of Axial Piston Pump
Axial piston pumps play a vital role in fluid power systems, which are widely employed in diverse fields such as aerospace, ocean engineering, and rail transit. It is essential to accurately diagnose faults in these pumps since their reliable operation hinges on it. A graph isomorphic network with a...
Saved in:
| Main Authors: | Kai Li, Bofan Wu, Shiqi Xia, Xianshi Jia |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/12/6586 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Based on Dynamics and Hydraulic System Coupling Simulation of Swash Plate Axial Piston Pump
by: WANG Xiaojing, et al.
Published: (2020-02-01) -
An Investigation on the Ball Screw-Based Variable Displacement Mechanism for Axial Piston Pumps with Feedforward Differential Input Control
by: Guangcheng Zhang, et al.
Published: (2025-02-01) -
Fault diagnosis methods for imbalanced samples of hydraulic pumps based on DA-DCGAN
by: Yang Zhao, et al.
Published: (2025-07-01) -
Novel Approach for Robust Control of Axial Piston Pump
by: Tsonyo Slavov, et al.
Published: (2025-02-01) -
Comprehensive performance and optimization of micro textured slipper pair of axial piston pumps
by: Ping Xu, et al.
Published: (2025-04-01)