A Novel Bearing Fault Diagnosis Method Based on Slice Spectrum and Wiener Process

This paper focused on weak fault feature extraction and reliability assessment for bearings and proposed a novel fault diagnosis method based on slice spectrum analysis and Wiener process. Firstly, we conducted slice spectrum analysis on the acquired vibration signals and extracted the characteristic value of early weak fault, based on the variation tendency of fault characteristic values, a reliability assessment model was established using Wiener degradation process. A case study on the bearing of the lubricating oil pump verifies that the proposed slice spectrum analysis method can effectively extract the modulated information of early weak fault and suppressed the inference of Gaussian noise on the vibration signals. The present study can provide some new ideas for the extraction of weak fault features from the mechanical products vibration signals and the prediction of fault development tendency.