Semi-supervised weighted stacked autoencoder with spectral peak significance constraints for imbalanced fault diagnosis under low labeled rates
To overcome the severe performance degradation and majority-class bias of traditional fault diagnosis methods under practical scenarios of extreme label scarcity and inherent class imbalance, this paper proposes a semi-supervised weighted stacked autoencoder with spectral peak significance constraints (SSWAEF). A neare...