Application of a boundary-optimized empirical wavelet transform for fault diagnosis of large multirow bearings under high-noise conditions
Structural Health Monitoring: An International Journal
Published online on March 09, 2026
Abstract
Structural Health Monitoring, Ahead of Print.
Reliable extraction of fault-related features from high-noise vibration signals is crucial for diagnosing incipient defects in large-scale industrial bearings. However, the empirical wavelet transform (EWT) is highly sensitive to boundary definition and ...
Reliable extraction of fault-related features from high-noise vibration signals is crucial for diagnosing incipient defects in large-scale industrial bearings. However, the empirical wavelet transform (EWT) is highly sensitive to boundary definition and ...