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双馈式风力发电机组故障诊断的方法及实现
Doubly-Fed Wind Turbine Failure Diagnose Method and Realization
【作者】 关新;
【作者基本信息】 沈阳工业大学 , 机械电子工程, 2009, 硕士
【摘要】 本文阐述了风力发电的优势及风力发电行业在国内的发展现状,针对风力发电机组(以下简称风力机)主传动链(主轴、齿轮箱、发电机)及塔筒出现的一些问题,结合小波分析理论,对我校风能技术研究所自主研发SUT-1000型风力机进行了故障诊断,提出合理化的故障监测方案。本论文首先通过阐述风力发电的优势及存在的问题,说明风力机在实际国民生产中的重要地位,从而论证了实施风力机状态监测故障诊断的意义。再对小波分析理论进行简单说明,阐明小波分析在风力机分析的优势。并结合我所研究的兆瓦级双馈风力发电机实际工作状况,分析常见的故障,发现易出现故障的部件,决定振动监测的施工方案。然后对传动链上的关键部位(如主轴、齿轮箱等)采集的振动信号进行FFT分析。再利用MATLAB中的小波分析模块,设定阈值对振动信号消噪处理,使用小波函数对数据进行多尺度分析计算。最后是对塔筒故障诊断方法的研究,首先使用MSC有限元分析软件,计算出各阶固有频率。同时利用分析软件计算出风机在最大额定载荷下塔筒顶端的最大振幅。根据以上计算出的值作为振动监测的标准,设定危险报警值,提出合理的监测方案,监测其在额定工况下的工作状态。本论文实验数据全部来自现场实际测试得到的,贴近风机工作实际。并采用小波分析方法与有限元分析相结合,达到综合、精确故障诊断的效果。同时把实际情况与诊断结果相比较,结果基本吻合,证明了所使用分析方法的正确性。最后,根据测试诊断的经验,做出了“兆瓦级风力机状态监测系统”塔筒诊断系统的概念设计。
【Abstract】 The paper expatiates advantage of wind turbine and its development in our country. Aiming at failure of the transmission chain of the wind turbine(for example:main-shaft, gearbox etc) and tower,the paper analyze the fault of SUT-1000 wind turbine designed independently by Wind Energy Institution ShenYang University of Technology,and put forward reasonable project of fault diagnosis online according to wavelet theory.The paper put forward the important status of wind turbine in domestic economic through explaining its advantage and problem,thereby demonstrates the meaning of wind turbine measure and diagnose on line.Then,the paper introduces the wavelet theory simply and illuminates the advantage of wavelet analysis theory on wind turbine diagnosis. Meanwhile,based on the practical condition of the wind turbine designed by the Wind Energy Institute ShenYang University of technology,and analyzing normal failure and finding the components easily gone wrong of wind turbine,so the actual construction program of vibration monitoring is decided.Then,the vibration signal from key parts (gearbox,generator etc.) of transmission chain is analyzed with FFT method.Utilizing wavelet analysis module in MATLAB,we can set threshold to eliminate noise,and farther apply wavelet function to implement multi-measure analysis calculation of data.At last, the paper studies the failure diagnosis method of tower.On the one hand,the natural frequency is figured out by using MSC software,on the other hand,the maximum amplitude of vibration is also calculated.According to calculation value above that is regarded as the standard of vibration online,we can set the alarm value,and put forward reasonable project to measure the condition of wind turbine anytime.The experiment data used in the paper wholly comes from the testing of wind turbine on the spot,so it confirms to actual condition of wind turbine.The paper adopts wavelet analysis method combined with finite element analysis to get diagnosis result precisely, and compares the practical condition with diagnosis result,the correctness of result is proved.At last,according to the experience of testing diagnosis,we achieves the tower concept design of MW wind turbine diagnose and measure on line system.
【Key words】 Wind turbine; Monitoring Online; Fault Diagnosis; Vibration; Wavelet Analysis;