Beitong Zhou

A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series

2019 · arXiv (Cornell University)

This paper proposes a novel fault diagnosis approach based on generative adversarial networks (GAN) for imbalanced industrial time series where normal samples are much larger than failure cases. We combine a well-designed feature extractor with …