Abstract: Deep learning techniques have shown promise in various domains. However, traditional methods can only demonstrate their universal approximation capability from an existential perspective, ...
Abstract: Bearing cross-domain fault diagnosis (CDFD) remains challenging due to the significant domain discrepancy in different bearing data. A novel transfer-coupled dictionary learning (TCDL) ...
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