This paper describes the eccentricity, amplitude, phase shift, angular momentum, polarization, radial path, and orbital ...
Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions
Unsupervised domain adaptation (UDA)-based methods have made great progress in mechanical fault diagnosis under variable working conditions. In UDA, three types of information, including class label, ...
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