| 基于非高斯性强度的风电齿轮箱故障特征提取 |
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| 引用本文： | 周雁冰,柳亦兵,赵秋丽,李宏. 基于非高斯性强度的风电齿轮箱故障特征提取[J]. 动力工程, 2013, 0(11): 865-870 |
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| 作者姓名： | 周雁冰 柳亦兵 赵秋丽 李宏 |
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| 作者单位： | [1]华北电力大学能源动力与机械工程学院北京102206;河北工程大学机电工程学院,邯郸056038 [2]华北电力大学能源动力与机械工程学院,北京102206 [3]新疆华电雪湖风力发电有限公司,乌鲁木齐830099 [4]河南省电力勘测设计院,郑州450007 |
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| 基金项目： | 中央高校基本科研业务费资助项目（11QX48） |
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| 摘 要： | 研究了风电机组齿轮箱的复杂振动信号并提取故障特征.由Gabor变换进行滤波和重构,抑制振动信号中的啮合频率及其谐波成分,对以边带成分、随机成分、固有频率成分为主的重构信号进行双谱分析,揭示齿轮正常状态与点蚀故障时振动信号的非高斯性差异,并提取到非高斯性强度特征值.结果表明：齿轮故障会引起振动信号中非高斯分布成分发生变化,由滤波信号提取到的非高斯性强度特征值对齿轮点蚀故障十分敏感,该计算方法较为便捷,具有一定的工程实用价值.
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| 关 键 词： | 风电机组 齿轮箱 故障 特征提取 Gabor滤波 双谱 非高斯性强度 |
Fault Feature Extraction from Wind Turbine Gearbox Based on Non-Gaussian Intensity |
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| ZHOU YanbingSchool of Energy,Power and Mechanical Engineering,North China Electric Power University,Beijing,China;College of Mechanical and Electrical Engineering,Hebei University of Engineering,Handan,China LIU YibingSchool of Energy,Power and Mechanical Engineering,North China Electric Power University,Beijing,China ZHAO QiuliXinjiang Huadian Xuehu Wind Power Co.,Ltd.,Urumqi,China LI Hong. Fault Feature Extraction from Wind Turbine Gearbox Based on Non-Gaussian Intensity[J]. Power Engineering, 2013, 0(11): 865-870 |
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| Authors: | ZHOU YanbingSchool of Energy,Power Mechanical Engineering,North China Electric Power University,Beijing,China College of Mechanical Electrical Engineering,Hebei University of Engineering,Handan,China LIU YibingSchool of Energy,Power Mechanical Engineering,North China Electric Power University,Beijing,China ZHAO QiuliXinjiang Huadian Xuehu Wind Power Co.,Ltd.,Urumqi,China LI Hong |
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| Affiliation: | ZHOU Yanbing(School of Energy, Power and Mechanical Engineering, North China Electric Power University,Beijing 102206, China;College of Mechanical and Electrical Engineering, Hebei University of Engineering, Handan 056038, China) LIU Yibing(School of Energy, Power and Mechanical Engineering, North China Electric Power University,Beijing 102206, China) ZHAO Qiuli(Xinjiang Huadian Xuehu Wind Power Co., Ltd., Urumqi830099, China) LI Hong(Henan Electric Power Survey ＆ Design Institute, Zhengzhou 450007, China) |
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| Abstract: | Complex vibration signals of wind turbine gearbox were studied so as to extract the fault features.The measured vibration signals were filtered and reconstructed by Gabor transformation,and then the meshing frequency and its harmonic components were inhibited,after which bispectral analysis was carried out to the reconstructed signals that mainly include sideband components,random components and inherent frequency components.Finally,the difference of non-Gaussian feature between normal gear vibration signals and pitting gear vibration signals was revealed,and subsequently the characteristic values of non-Gaussian intensity were extracted.Results show that gear faults may change the distribution of non Gaussian components in vibration signals.The characteristic values of non-Gaussian intensity extracted from filtered signals are closely related to the gear pitting faults.The method is very simple in calculation,which therefore may be used in actual engineering projects. |
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| Keywords: | wind turbine gearbox fault feature extraction Gabor filtering bispectrum non-Gaussian intensity |
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