Vibration Signal of Generator Features and its Fault Diagnosis Application

Abstract

This paper study the wind turbine bearing vibration signal characterization and nonlinear transient characteristics, the transient signal characteristics were established based on Wigner-Ville spectrum entropy and support vector machine (SVM) extraction and fault diagnosis model and quantitative description of nonlinear characteristics of multi-scale method based on LMD sort of entropy, and the effectiveness of dynamic signal feature extraction and fault diagnosis method of the study, a typical experiment platform bearing bearing fault diagnosis experiment verified.