基于小波分析的风力发电机叶片损伤检测

2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI:10.1109/CISP.2015.7408103

Qian Zhao, Wei Li, Y. Shao, Xing-jia Yao, Haonan Tian, Jing Zhang

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引用次数: 8

摘要

介绍了小波分析和支持向量机的基本理论和算法。利用小波分析方法提取风力发电机组叶片故障振动信号的特征向量，再利用支持向量机方法对特征向量进行识别，最后判断叶片是否存在裂纹损伤。结果表明，该方法对风力机叶片裂纹损伤的识别有较好的效果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Damage detection of wind turbine blade based on wavelet analysis

The basic theory and algorithm of wavelet analysis and support vector machine (SVM) were introduced. The feature vector of the fault vibration signal of the blade in wind turbine was extracted by wavelet analysis, the feature vector was identified by SVM method further, and finally, the crack damage of the blade was judged. The results show that this method has a good effect on identification of the blade crack damage in wind turbine.

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来源期刊

2015 8th International Congress on Image and Signal Processing (CISP)

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