CWT spectrograms combined with YOLOv9-11 achieve mAP up to 99.5% for spatial localization of bearing faults on CWRU, PU, and IMS datasets, outperforming time-series and STFT baselines.
The empirical mode decomposition and the hilbert spectrum for nonlinear and non-stationary time series analysis,
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CWT-Enhanced Vibration Sensing With Spatial Fault Localization Using YOLO
CWT spectrograms combined with YOLOv9-11 achieve mAP up to 99.5% for spatial localization of bearing faults on CWRU, PU, and IMS datasets, outperforming time-series and STFT baselines.