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.

• Periodical: Applied Mechanics and Materials (Volumes 635-637)
• Pages: 906-909
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.635-637.906
• Online since: September 2014
• Authors: Hui Yu Wang*
• Keywords: Fault Diagnosis, Mechanical Failure, Signal Acquisition, Signal Processing, Vibration Signal

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