A novel wind turbine de-noising method based on the Genetic Algorithm optimal Mexican hat wavelet

被引：0

作者：

Liu, W. Y. ^{[1
]}

Gao, Q. W. ^{[1
]}

Zhang, Y. ^{[1
]}

机构：

[1] Jiangsu Normal Univ, Sch Mech & Elect Engn, Xuzhou 221116, Peoples R China

来源：

2016 13TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI) | 2016年

关键词：

Wind turbine; De-noising; Mexican hat wavelet; Genetic Algorithm (GA);

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposed a new wind turbine de-noising method based on the Genetic Algorithm (GA) optimal Mexican hat wavelet. The filtering characteristic of the Mexican hat wavelet is studied first and then improved with two shape changing parameters. The GA is introduced to optimize the shape parameters by the selection, genetic and replacement process. The scale factor in the wavelet transform (WT) is then optimized using the same arithmetic. Finally the optimal Mexican hat wavelet and the scale factor are applied in the continue wavelet transform to extract the useful features of the analyzed signal. The experiment results using the real wind turbine gearbox vibration signal proved the effectiveness and validity of the new method.

引用

页码：1003 / 1006

页数：4

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