Fault diagnosis of wind turbine gearboxes using a temporal contrastive learning model integrated with multi-kernel Shiftwise convolution
A temporal contrastive framework integrating a hybrid multi-kernel Shiftwise convolutional network, optimizing feature spaces without extensive manual annotation is presented, substantially outperforming existing methods.