一种基于Hilbert-Huang变换的电力电缆故障测距方法

为了提高电力电缆故障测距的灵敏性和准确性，提出一种基于Hilbert-Huang变换的电力电缆故障测距方法。针对电缆故障时暂态行波信号奇异性不明显问题，HHT能在不需要选择基函数的条件下对信号进行自适应时频分析，应用经验模态分解(EMD)方法对信号进行唯一分解。EMD能在保持信号良好的时域特性和频域特性的同时得到信号的时频和能量分布关系，有利于提取信号的奇异性，进而减小测量误差。通过不同方法对故障进行数值仿真测距，仿真结果表明HHT故障测距方法具有很好的优越性。

A power cable fault location method based on Hilbert-Huang transform

To improve the sensitivity and accuracy of power cable fault location, a power cable fault location method based on Hilbert-Huang transform is proposed. For the problem of the singularity of the transient traveling wave signal is not clear when power fault happens, HHT can carry out adaptive time-frequency analysis to signal without choosing a basis function, and the empirical mode decomposition (EMD) method can be applied to unique decompose of the signal. EMD can maintain the good quality of the time and frequency characteristics of signal, meanwhile getting the time frequency and energy relationship of signal, which is good for extracting the singularity of signal. The fault location is simulated by different methods. The simulation results show the advantages of the HHT fault location method. This work is supported by International Science and Technology Collaboration Program of Henan Science and Technology Departement (No. 152102410009)