Cite
HARVARD Citation
Liang, P. et al. (2023). Unsupervised fault diagnosis of wind turbine bearing via a deep residual deformable convolution network based on subdomain adaptation under time-varying speeds. Engineering applications of artificial intelligence. p. . [Online].