Abstract:

Abstract:In order to track the fault development process of the rolling bearing, the vibration signal data of the rolling bearing were collected periodically. The signals in different frequency range were processed to obtain gSE spectrum and velocity spectrum. Based on analysis of the gSE spectrum and velocity spectrum obtained in different time, the current status of the bearing was obtained, and the residual lifetime of the bearing can be estimated, which provides scientific data basis for predictive maintenance.

Key words: Key words:vibration, vibration gSE (spike energy in g) spectrum, velocity spectrum, rolling bearing, failure frequency, predictive maintenance