As can be seen from the figure, the ResNet-KAN model demonstrates the best classification performance, with clear differentiation between the three fault states, whilst the ViT model performs poorly, with the normal state and the three fault categories appearing mixed and indistinguishable; for the ResNet-KAN and 2DCNN models, the features for outer-ring and inner-ring faults overlap to some extent, and the differences in features may be significant.
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Fault Diagnosis Method for Electric Vehicle In-Wheel Motor Bearings Based on Improved SVMD and ResNet-KAN.
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