基于多重分形的大型风力机主轴故障诊断  

Application of multi-fractal method in fault diagnosis of large-scale wind turbines main bearing

作　　者：刘欢[1] 王健[1] 高淑芝[1] 郭烁[1] 张琳琳[1] 

机构地区：[1]沈阳化工大学,辽宁沈阳110142

出　　处：《重型机械》2015年第3期1-4,共4页Heavy Machinery

基　　金：国家自然科学基金资助项目(51005159;50975180);辽宁省教育厅科学研究一般项目资助(L2014166)

摘　　要：大型风力机主轴承系统动力特性复杂,表现出强烈的非线性、强耦合和时变特征,故障特征信号难以提取。本文运用多重分形理论对风力机主轴承系统故障进行诊断识别的方法进行了研究,该方法具有直观性并且对于早期的设备状态变化具有敏感性。某风场1.5 MW大型风力机主轴实验结果证明该方法快速有效。It is difficult to extract the characteristics of fault signals of large-scale wind turbine main bearing because it is complex with strong non-linearity, strong coupling and time-varying.Multi-fractal theory is put for-ward to detect and recognize the different faults of the main bearing .And the method is intuitive and sensitive to diverse faults of large-scale wind turbine main bearing .The results of experiments on the main bearings of 1.5 MW wind turbines are reported to demonstrate the method is quick and effective .

关 键 词：多重分形 风力机 故障诊断 主轴 

分 类 号：TH39[机械工程—机械制造及自动化]