The Fault Vibration Signal Analysis Of Wind Turbine Gearbox Based On Wavelet Transform

被引：0

作者：

Zhang Yon ^{[1
]}

Liu Xiang-jun ^{[1
]}

机构：

[1] North China Elect Power Univ, Sch Elect & Elect Engn, Beijing, Peoples R China

来源：

PROCEEDINGS OF 2013 2ND INTERNATIONAL CONFERENCE ON MEASUREMENT, INFORMATION AND CONTROL (ICMIC 2013), VOLS 1 & 2 | 2013年

关键词：

wind turbines; fault diagnosis; wavelet denoising;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In wind turbine gearbox fault diagnosis, the signals from sensors are non-stationary vibration signals; on the impact of the wind turbine work environment, the vibration signal contains a lot of noise;The traditional signal processing methods can not extract the fault characteristics fast and effectively from the vibration signals; this paper uses wavelet threshold value denoising method to analyze the wind turbine vibration signals and proves feasibility and practicability of the method through a example.

引用

页码：724 / 727

页数：4

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