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01-Applied Mathematics & Information Sciences
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 

Content
 

Volumes > Volume 9 > No. 1L

 
   

Damage Recognition of Gearbox and Blade for Wind Generation System Using Frequency Spectrum Analysis

PP: 213-218
Author(s)
Po-Hung Chen, Hung-Cheng Chen, Chun-Yao Lee,
Abstract
This paper presents a novel approach based on the frequency spectrum analysis for the gearbox and blade damage recognition of wind generation system. The proposed approach utilizes a back-propagation neural network (BPNN) to extend the end of the frequency spectrum to overcome the end effect problem of the Hilbert-Huang transform (HHT), which consists of empirical mode decomposition (EMD) and Hilbert transform (HT). The extension of the two ends obtained by the proposed approach forms a new frequency spectrum to improve the end effect problem which can distort Hilbert spectrum. The proposed approach is successfully applied to analyze the generator currents of a wind generation system. Simulated results reveal the new frequency spectrum obtained by the proposed approach can substantially improve the recognition accuracy of gearbox and blade damage.

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