Sep 2026
Fault diagnosis of wind turbine gearboxes using a temporal contrastive learning model integrated with multi-kernel Shiftwise convolution
Sustained wind turbine gearbox operation under volatile conditions and intense background noise complicates vibration signals, rendering reliable fault label acquisition cost-prohibitive. Under scarce labeling constraints, traditional data-driven methodologies frequently fail to isolate distinctive fault signatures. To...
Jia-Hao Zhong, Yang Long, Kang-You Cui et al.
· Journal of Vibration and Con... · 0 citations