Open access
Sep 2026
A Fault Diagnosis Framework for Rolling Bearings Based on PPCA-AR Anti-Interference Preprocessing and LSTM
A fault diagnosis framework integrating deep learning with signal processing, which consists of probabilistic principal component analysis for noise suppression, the autoregressive (AR) model for discrete interference elimination, spectral kurtosis (SK) for fault feature enhancement, and LSTM-based intelligent classifi...
Sheng-Li Song, Chun-Hui Zhu, Shi-Long Zhang et al.
· Applied Sciences · 0 citations