Reweighted Regularized Prototypical Network for Few-Shot Fault Diagnosis.
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DOI: 10.1109/tnnls.2022.3232394
Abstract: In this article, we study the challenging few-shot fault diagnosis (FSFD) problem where limited faulty samples are available. Metric-based meta-learning methods have been a prevalent approach toward FSFD; however, most of them rely on learning… read more here.
Keywords: fault diagnosis; shot fault; regularized prototypical; reweighted regularized ... See more keywords