Feature extraction and fault diagnosis of wind power generator vibration signals based on empirical wavelet transform

Feature extraction and fault diagnosis of wind power generator vibration signals based on empirical wavelet transform

Given the nonlinear and nonstationary characteristics of wind power generator vibration signals, the empirical wavelet transform (EWT)-based method is proposed to analyze the vibration signal characteristics and to diagnose faults. The adaptive Fourier spectrum segmentation of EWT is analyzed, and a...

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Bibliographic Details
Main Authors: Xuejun Chen, Yongming Yang, Ning Yang
Format: Article
Language:English
Published: JVE International 2017-05-01
Series:Journal of Vibroengineering
Subjects:
vibration measurement
wavelet transforms
feature extraction
wind power
Online Access:https://www.jvejournals.com/article/17374

Internet

https://www.jvejournals.com/article/17374

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