An Industrial Case Study of Rolling-Element Bearing Condition Monitoring Using CEEMDAN-Based Hilbert Spectral Analysis Cross-Checked Against Fourier Spectra
Rolling-element bearings are a leading cause of unplanned downtime in continuous-process manufacturing, and the migration toward Industry 4.0 condition-based maintenance (CBM) has intensified the need for diagnostic methods evaluated on real in-service assets. This paper reports an exploratory, longitudinal single-asse...