Research on Early Fault Diagnosis Method of Rolling Bearing

In this paper, an early fault diagnosis method of rolling bearing is proposed to solve the problem of weak effective information and difficult fault feature extraction caused by noise pollution and transmission path attenuation of early fault signal of rolling bearing. This method combines the noise reduction performance of variational mode decomposition and the feature enhancement ability of independent component analysis to achieve the purpose of early fault diagnosis of rolling bearing. The proposed method is used to process the noise-containing simulation signal and the early fault measured signal, and the fault information is successfully extracted, which verifies the feasibility and practicability of this method.