Fault detection in wind turbine system using wavelet transform: multi-resolution analysis

被引：0
|
作者：
Bakir, T. [1 ]
Boussaid, B. [1 ]
Hamdaoui, R. [1 ]
Abdelkrim, M. N. [1 ]
Aubrun, C. [2 ]
机构：
[1] Gabes Univ, Modeling Anal & Control Syst Lab, O Khattab Rd, Gabes 6029, Tunisia
[2] Lorraine Univ, CRAN, F-54506 Vandoeuvre Les Nancy, France
来源：
2015 IEEE 12TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD) | 2015年
关键词：
wind turbine system; diagnosis; fault detection; wavelet transform; multi resolution; denoising; thresholding;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the wavelet transform theory is used to fault diagnosis for wind turbine benchmark model, considering its characteristics of multi-resolution and thresholds. The paper emphasizes de-noising based on wavelet transform in signal of generated residue in order to detect faults. Executing wavelet transformation, faults in the wind turbine can be detected. We have attempted to show how wavelet transform can be used to detect faults.
引用
收藏
页数：6
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