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Entropy 2017, 19(11), 587; https://doi.org/10.3390/e19110587

The Application of Dual-Tree Complex Wavelet Transform (DTCWT) Energy Entropy in Misalignment Fault Diagnosis of Doubly-Fed Wind Turbine (DFWT)

1
School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China
2
State Grid Beijing Haidian Electric Power Supply Company, Beijing 100195, China
3
Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China
*
Author to whom correspondence should be addressed.
Received: 20 September 2017 / Revised: 23 October 2017 / Accepted: 1 November 2017 / Published: 2 November 2017
(This article belongs to the Special Issue Wavelets, Fractals and Information Theory III)
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Abstract

Misalignment is one of the common faults for the doubly-fed wind turbine (DFWT), and the normal operation of the unit will be greatly affected under this state. Because it is difficult to obtain a large number of misaligned fault samples of wind turbines in practice, ADAMS and MATLAB are used to simulate the various misalignment conditions of the wind turbine transmission system to obtain the corresponding stator current in this paper. Then, the dual-tree complex wavelet transform is used to decompose and reconstruct the characteristic signal, and the dual-tree complex wavelet energy entropy is obtained from the reconstructed coefficients to form the feature vector of the fault diagnosis. Support vector machine is used as classifier and particle swarm optimization is used to optimize the relevant parameters of support vector machine (SVM) to improve its classification performance. The results show that the method proposed in this paper can effectively and accurately classify the misalignment of the transmission system of the wind turbine and improve the reliability of the fault diagnosis. View Full-Text
Keywords: misalignment; dual-tree complex wavelet; energy entropy; fault diagnosis; PSO; SVM misalignment; dual-tree complex wavelet; energy entropy; fault diagnosis; PSO; SVM
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Xiao, Y.; Hong, Y.; Chen, X.; Chen, W. The Application of Dual-Tree Complex Wavelet Transform (DTCWT) Energy Entropy in Misalignment Fault Diagnosis of Doubly-Fed Wind Turbine (DFWT). Entropy 2017, 19, 587.

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