Optimal weighted envelope spectrum with informative multi-band selection for bearing fault diagnosis

2026/06/01 by Yunlong He, Xinyuan Zhao, Dongdong Liu +1
Engineering · #Electrical Fault Detection and Protection #Fault Detection and Control Systems #Machine Fault Diagnosis Techniques

paper · doi:10.1016/j.isatra.2026.06.006

crossref issued 2026/06/01 · crossref published 2026/06/01 · crossref published-print 2026/06/01 · openalex publication_date 2026/06/01 · crossref created 2026/06/10 · openalex created_date 2026/06/11 · crossref deposited 2026/07/02 · openalex updated_date 2026/07/23 · crossref indexed 2026/07/31

Citations

• Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study
• The infogram: Entropic evidence of the signature of repetitive transients
• A novel method for the optimal band selection for vibration signal demodulation and comparison with the Kurtogram
• The Autogram: An effective approach for selecting the optimal demodulation band in rolling element bearings diagnosis
• Cyclostationary-based Multiband Envelope Spectra Extraction for bearing diagnostics: The Combined Improved Envelope Spectrum
• An adaptive feature extraction technique via bispectrum-driving graph domain for bearing fault diagnosis