行波色散是造成故障测距误差大的重要原因：利用行波故障定位时要考虑采用多相行波数据。
Traveling wave dispersion in the parallel line is more complex than that in the single line and is an important reason why the fault location error is large for traveling wave method.
为此，提出了一种基于行波法的单端故障定位装置的开发思路，并详细介绍了该装置硬件、软件的设计工作及故障定位方法的研究。
This paper presents a new single-end fault location device based on traveling wave, detailedly describing the design of its hardware and software as well as the research on fault location method.
为对变压器铁心发生的多点接地故障进行准确定位提出了高频法和行波法两种检测方法，并对它们进行了较为详细的分析和比较。
To solve the problem of locating the multipoint earthing of the transformer core, two novel methods, named as high-frequency method and travelling-wave method, are analyzed and compared in detail.
在行波故障测距中，传统的数据采集系统无法适应采集高速变化的暂态电压、电流行波的要求，难以实现故障的精确定位。
In traveling-wave fault locating, the traditional data acquisition system can not record the fast-changed traveling waves of voltage and current for accurate fault locating.
精确故障定位的传输线是非常重要的电力系统。 故障定位有三个方法：阻抗法、故障分析法和行波法。
There existed three met hods for fault location : impedance method, fault analysis method and traveling wavemet hod .
现有行波测距法基本上都没有把由该方法所确定的行波到达时间与故障定位用行波传播速度很好地结合起来，导致定位精度不理想。
Existing methods for travelling wave fault location don't combine the arrival time of travel-ling wave with the propagation velocity properly, which leads to poor location accuracy.
为解决配电网故障定位问题，使配电网故障定位自动化，以减少巡线工作量和用户停电时间，提出了利用C型行波法对单相接地故障进行故障测距的方法。
To solve the problem of the fault location in distribution networks, a fault location method is suggested for the single-phase grounding fault based on C-type traveling-wave theory.
通过算例验证，结果表明该方法与传统的小波模极大值法相比，较好地解决了行波波形的伪极值点问题，提高了故障定位精度。
This paper also does some examples to show that a curve matching method based on wavelet deal with false value better and have higher accuracy than modulus maxima of wavelet transform method.
通过算例验证，结果表明该方法与传统的小波模极大值法相比，较好地解决了行波波形的伪极值点问题，提高了故障定位精度。
This paper also does some examples to show that a curve matching method based on wavelet deal with false value better and have higher accuracy than modulus maxima of wavelet transform method.
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