Variable Filtered-Waveform Variational Mode Decomposition and Its Application in Rolling Bearing Fault Feature Extraction

• Published in: Entropy (Basel, Switzerland) Vol. 27; no. 3; p. 277
• Main Authors: Li, Nuo, Wang, Hang
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 07.03.2025; MDPI
• Subjects: Adaptability; Algorithms; Bandwidths; bearing fault diagnosis; Bearings; Broadband; Broadband transmission; Chirp signals; Decomposition; envelope spectral entropy; Fault diagnosis; Fault lines; mode mixing; Narrowband; Regularization methods; Roller bearings; Signal processing; variational mode decomposition; Waveforms; Wavelet transforms; wideband signal; Wiener filter; Wiener filtering; United Kingdom; mode mixing; Wiener filter; variational mode decomposition; wideband signal; bearing fault diagnosis; envelope spectral entropy
• ISSN: 1099-4300; 1099-4300
• DOI: 10.3390/e27030277

Variational Mode Decomposition (VMD) serves as an effective method for simultaneously decomposing signals into a series of narrowband components. However, its theoretical foundation, the classical Wiener filter, exhibits limited adaptability when applied to broadband signals. This paper proposes a n...