Cite
Multi-fault diagnosis and fault degree identification in hydraulic systems based on fully convolutional networks and deep feature fusion.
MLA
Zhang, Peng, et al. “Multi-Fault Diagnosis and Fault Degree Identification in Hydraulic Systems Based on Fully Convolutional Networks and Deep Feature Fusion.” Neural Computing & Applications, vol. 36, no. 16, June 2024, pp. 9125–40. EBSCOhost, https://doi.org/10.1007/s00521-024-09548-7.
APA
Zhang, P., Hu, W., Cao, W., Chen, L., & Wu, M. (2024). Multi-fault diagnosis and fault degree identification in hydraulic systems based on fully convolutional networks and deep feature fusion. Neural Computing & Applications, 36(16), 9125–9140. https://doi.org/10.1007/s00521-024-09548-7
Chicago
Zhang, Peng, Wenkai Hu, Weihua Cao, Luefeng Chen, and Min Wu. 2024. “Multi-Fault Diagnosis and Fault Degree Identification in Hydraulic Systems Based on Fully Convolutional Networks and Deep Feature Fusion.” Neural Computing & Applications 36 (16): 9125–40. doi:10.1007/s00521-024-09548-7.