Rolling bearing fault diagnosis under variable speed and noisy conditions using multidomain ConvNeXt features and random forest decisions
Reliable rolling-bearing diagnosis requires features and decision rules that remain discriminative under operating-speed variation and severe interference. This study presents a staged TL-ConvNeXt-RF framework in which 1024-point vibration windows are represented by spatially aligned time-domain, fast Fourier transfo...