Cite
A Rotating Machinery Fault Diagnosis Method Based on Dynamic Graph Convolution Network and Hard Threshold Denoising
MLA
Qiting Zhou, et al. “A Rotating Machinery Fault Diagnosis Method Based on Dynamic Graph Convolution Network and Hard Threshold Denoising.” Sensors, vol. 24, no. 15, July 2024, p. 4887. EBSCOhost, https://doi.org/10.3390/s24154887.
APA
Qiting Zhou, Longxian Xue, Jie He, Sixiang Jia, & Yongbo Li. (2024). A Rotating Machinery Fault Diagnosis Method Based on Dynamic Graph Convolution Network and Hard Threshold Denoising. Sensors, 24(15), 4887. https://doi.org/10.3390/s24154887
Chicago
Qiting Zhou, Longxian Xue, Jie He, Sixiang Jia, and Yongbo Li. 2024. “A Rotating Machinery Fault Diagnosis Method Based on Dynamic Graph Convolution Network and Hard Threshold Denoising.” Sensors 24 (15): 4887. doi:10.3390/s24154887.