随着风能资源的利用水平不断提高,风力发电系统中的电力电子装置使用也越来越多,其工作可靠性要求也越来越高。风力发电装置多位于野外,不可能让运行人员长期守在风机就地监视。为减轻检修人员的工作负担,对风机运行中远方检测到的大量数据进行快速而有效的可视化分析及故障状态粗略判断,文章引入了一种用小波变换来对数据进行快速分析诊断故障的方法。通过该方法能够很好的根据实时数据判断风机电力电子装置的故障。
With the development of utilities to the wind energy, more and more electric power components and devices have been used in wind turbine generator system, which worked in the open field and it was hard for the operators to monitor in site. However, a large number of data supplied from the distant placed could be used to judge the problem, thus, came a new method to judge the default of the electronic components and devices in the wind turbine system by means of wavelet analysis on the real time data.