An, H.; He, H.; Ma, S.; Pan, R.; Liu, C.; Guo, Y.; Liu, G.; Song, M.; Dong, Z.; Chen, G.
Fault Diagnosis Method for Axial Piston Pump Slipper Wear Based on Symmetric Dot Pattern and Multi-Channel Densely Connected Convolutional Networks. Sensors 2025, 25, 7465.
https://doi.org/10.3390/s25247465
AMA Style
An H, He H, Ma S, Pan R, Liu C, Guo Y, Liu G, Song M, Dong Z, Chen G.
Fault Diagnosis Method for Axial Piston Pump Slipper Wear Based on Symmetric Dot Pattern and Multi-Channel Densely Connected Convolutional Networks. Sensors. 2025; 25(24):7465.
https://doi.org/10.3390/s25247465
Chicago/Turabian Style
An, Huijiang, Honghan He, Shihao Ma, Ruoxin Pan, Cunbo Liu, Yuxuan Guo, Gang Liu, Mingxing Song, Zhikui Dong, and Gexin Chen.
2025. "Fault Diagnosis Method for Axial Piston Pump Slipper Wear Based on Symmetric Dot Pattern and Multi-Channel Densely Connected Convolutional Networks" Sensors 25, no. 24: 7465.
https://doi.org/10.3390/s25247465
APA Style
An, H., He, H., Ma, S., Pan, R., Liu, C., Guo, Y., Liu, G., Song, M., Dong, Z., & Chen, G.
(2025). Fault Diagnosis Method for Axial Piston Pump Slipper Wear Based on Symmetric Dot Pattern and Multi-Channel Densely Connected Convolutional Networks. Sensors, 25(24), 7465.
https://doi.org/10.3390/s25247465