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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
JVE International
2017-05-01
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Series: | Journal of Vibroengineering |
Subjects: | |
Online Access: | https://www.jvejournals.com/article/17374 |