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在对信号进行采集的过程中,经常会受到各种噪声信号的干扰和影响,因此在对测量的数据进行分析之前,必须进行信号消噪。MATLAB的小波工具箱中包含了多种常用的小波函数及精度更高的小波包,可以通过简洁、灵活的编程实现小波分析,但MATLAB的缺点是人机交互界面和数据采集功能差,而这恰是Lab VIEW的优点。综合了二者的优点,介绍了一种基于Lab VIEW的小波变换的分析方法,并把其应用到输电线路故障信息的识别中,通过ATP仿真算例进行了验证。实验结果表明:用MATLAB和LabVIEW可以顺利地实现小波变换,效果理想,且界面良好,为进一步的故障定位提供了有力的依据。
In the process of signal acquisition, often by a variety of noise signal interference and influence, so the measured data analysis, must be carried out signal noise reduction. MATLAB Wavelet Toolbox contains a variety of commonly used wavelet functions and higher precision wavelet packet, wavelet analysis can be achieved through simple and flexible programming, but the disadvantage of MATLAB is that human-computer interaction interface and data acquisition function is poor, and this It is the advantage of Lab VIEW. The merits of the two are summed up. An analysis method of wavelet transform based on Lab VIEW is introduced and applied to the identification of transmission line fault information, which is verified by the ATP simulation example. The experimental results show that the MATLAB and LabVIEW can realize the wavelet transform smoothly, the result is satisfactory and the interface is good, which provides a strong basis for further fault location.