Weighted envelope spectrum based on reselection mechanism and its application in bearing fault diagnosis. (1st April 2023)

• Record Type: Journal Article
• Authors: Zhang, Yongxiang; Huang, Baoyu
• Is Part Of: Measurement science & technology. Volume 34:Number 4(2023)
• Publication Date: 2023-04-01
• Subjects: rolling bearing -- fault diagnosis -- fast spectral correlation -- weighted envelope spectrum -- reselection mechanism; Physical measurements -- Periodicals; Scientific apparatus and instruments -- Periodicals; Equipment and Supplies -- Periodicals; Science -- instrumentation -- Periodicals; Technology -- instrumentation -- Periodicals; Mesures physiques -- Périodiques; Physical measurements; Scientific apparatus and instruments; Periodicals; 502.87
• DOI: 10.1088/1361-6501/acacb7
• Languages: English
• ISSNs: 0957-0233

Abstract

Abstract: As a powerful algorithm, fast spectral correlation (Fast-SC) is widely used in bearing fault diagnosis. However, the interference of strong background noise and the existence of multiple fault-related frequency bands make it difficult to diagnose bearing faults using enhanced envelope spectrum and improved envelope spectrum on the basis of Fast-SC. To alleviate the problem, fast kurtogram is imitated to divide the spectral frequency bands; then, the threshold-based diagnostic feature (TDF) of each integration band is calculated to guide the weighting function of the corresponding level; finally, weighted envelope spectrum with the largest TDF is determined as the output; this process is called the reselection mechanism. Simulation and experimental results indicate that the design of weighting function highlights the contribution of the fault-related frequency bands, and the reselection mechanism further improves its performance.