Pei-Jie You

Time–frequency modalities fusion-driven channel-adaptive contrastive learning for cross-domain fault diagnosis

While supervised learning has achieved significant success recently, its dependency on massive labeled data and poor generalization across different operational domains limit real-world applications in cross-domain fault diagnosis. Self-supervised contrastive learning offers a promising alternative by leveraging unlabe...