基于增量维纳反卷积的暂态过电压波形还原算法

Transient Overvoltage Waveform Restoration Algorithm Based on Incremental Wiener Deconvolution

摘要:

在接触式过电压传感器的设计中，由于线路内分布参数的影响，测量系统的有效带宽受到限制。针对于此，文中对反卷积信号还原算法进行了研究，在传统的增量维纳反卷积算法上做出了改进，提出了一种预估γ值的改进算法，并借助套管末屏分压测量系统进行了试验测试。结果表明，该算法通过对传感器输出波形处理，可修复测量结果中失真的高频成分，以准确获得原始的输入电压波形，进一步拓展了测量系统的测量带宽。

Abstract:

In the design of contact overvoltage sensor, the effective bandwidth of measurement system is limited due to the influence of distributed parameters in the line. In view of this, the deconvolution signal restoration algorithm is studied, the traditional incremental Wiener deconvolution algorithm is improved, and an improvement algorithm for γ prediction is proposed. With the help of partial pressure measurement system at the end of casing screen, the test is carried out. The results show that the proposed algorithm can repair the distorted high frequency components in the measurement results by processing the output waveform of the sensor, so as to obtain the original input voltage waveform accurately and further expand the measurement bandwidth of the measurement system.