Sep 2026
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.
Ying-Hao Zhao, Xu Yang, Jian Huang et al.
· Structural Health Monitoring · 0 citations