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Published in 2024 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2023.3316264
Abstract: Incomplete feature extraction and underutilization of unlabeled target data exist in the actual situation of rotating machinery fault diagnosis. To this end, a class-aware adversarial multiwavelet convolutional neural network (CAMCNN) is developed for cross-domain fault…
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Keywords:
multiwavelet convolutional;
class;
class aware;
fault diagnosis ... See more keywords