Imbalanced Fault Diagnosis of Harmonic Reducers Using Vibration Signals Based on an Auxiliary Classifier WGAN-GP with Spectral Normalization
Class imbalance is common in vibration-based fault diagnosis because normal-condition data are generally more abundant than fault data. This study proposes an auxiliary-classifier Wasserstein generative adversarial network with gradient penalty and spectral normalization, termed ACWGAN-SG, for fault-sample generation a...