Da-Jian Huang

Semi-supervised weighted stacked autoencoder with spectral peak significance constraints for imbalanced fault diagnosis under low labeled rates

A semi-supervised weighted stacked autoencoder with spectral peak significance constraints (SSWAEF), a nearest-neighbor consistency voting strategy coupled with a reciprocal-class-size sampling mechanism is first developed to construct a high-quality, class-balanced pseudo-labeled dataset.