Enhanced bearing fault diagnosis using integral envelope spectrum from spectral coherence normalized with feature energy

Bingyan Chen, Yao Cheng, Weihua Zhang, Fengshou Gu

Research output: Contribution to journalArticlepeer-review

Abstract

Enhanced envelope spectrum (EES) and improved envelope spectrum (IES) generated from spectral coherence (SCoh) are proven to be more robust fault detection tools than squared envelope spectrum (SES). However, EES cannot effectively detect the fault-induced components under strong interference noise and IES can only capture the information of a fault-sensitive resonance spectral frequency band. To overcome these problems, weighted combined envelope spectrum (WCES) from SCoh is proposed as a novel fault detector. WCES integrates the fault components distributed in multiple resonance frequency bands using normalized feature energy and removes the envelope spectrum slices with less fault information to exclude disturbance noises. The performance of WCES is validated using simulations and experiments and compared with the advanced envelope spectra. The results demonstrate that WCES can effectively detect bearing faults under strong interference noise and multiple resonances compared with the SES, EES and IES, and has potential application value in bearing diagnostics.
Original languageEnglish
Article number110448
JournalMeasurement
Early online date12 Nov 2021
DOIs
Publication statusE-pub ahead of print - 12 Nov 2021

Fingerprint

Dive into the research topics of 'Enhanced bearing fault diagnosis using integral envelope spectrum from spectral coherence normalized with feature energy'. Together they form a unique fingerprint.

Cite this