| 风电齿轮箱故障诊断的SVM参数优化 |
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| 引用本文： | 赵春华,董海江,钟先友.风电齿轮箱故障诊断的SVM参数优化[J].中国机械工程,2015,26(16):2222-2225. |
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| 作者姓名： | 赵春华 董海江 钟先友 |
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| 作者单位： | 三峡大学,宜昌,443002 |
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| 基金项目： | 国家自然科学基金资助项目（51075234） |
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| 摘 要： | 针对风电齿轮箱易出现齿轮断齿、点蚀、磨损等故障问题，提取风电齿轮箱非平稳非线性振动信号的提升小波包能量熵，利用支持向量机(SVM)进行故障诊断。为提高算法的分类精度，利用遗传算法对参数进行优化处理，试验结果表明，优化后获得的最佳参数能够提高SVM测试样本的预测精度。
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| 关 键 词： | 风电齿轮箱 故障诊断 支持向量机 参数优化 |
SVM Parameter Optimization in Fault Diagnosis for Wind Power Gear Box |
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| Zhao Chunhua,Dong Haijiang,Zhong Xianyou.SVM Parameter Optimization in Fault Diagnosis for Wind Power Gear Box[J].China Mechanical Engineering,2015,26(16):2222-2225. |
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| Authors: | Zhao Chunhua Dong Haijiang Zhong Xianyou |
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| Affiliation: | China Three Gorges University,Yichang,Hubei,443002 |
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| Abstract: | In a wind turbine gearbox,gear teeth produced frequently the problems such as broken,pitting and wear failure.This paper will extract non-stationary nonlinear vibration signals of wind power gear box and enhance wavelet packet energy entropy with using SVM to fault diagnosis processing.To improve the classification accuracy of the algorithm,genetic algorithms was used to optimize of parameters. Tests show that the best parameters can improve the prediction accuracy of the SVM to test samples. |
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| Keywords: | wind power gearbox fault diagnosis support vector machine(SVM) parameter optimization |
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