De-chen Yao

Adaptive multi-synchrosqueezing transform for compound fault diagnosis of gearbox bearings under non-stationary conditions

Rolling bearings operating under variable speed and load conditions usually generate strong non-stationary vibration signals, which make accurate extraction and separation of compound fault features difficult for conventional time-frequency methods. To address this issue, this study proposes an adaptive multi-synchrosq...

A smart structural health diagnosis system for few-shot bearing fault detection using Mamba and edge-attention GNN

Bearings are core load-bearing components of rotating machinery, and local structural damage will easily cause severe faults and even catastrophic industrial equipment shutdowns. Current intelligent bearing diagnosis methods face three major bottlenecks in actual factory scenarios: severely limited labeled fault sample...

Adaptive smoothed soft-threshold method for noise-robust bearing fault diagnosis