CAJ | 학술논문

为提高故障测距的精度、增强自适应性、提高对于低频信号的分辨，提出使用Hilbert Huang方法进行故障测距。将故障点的行波信号首先进行经验模态分解（EMD），再对分解得到的IMF1进行Hil-bert Huang变换得到信号瞬时频率图，进而找出频率突变点的时间进行行波波头的识别。在介绍了Hil-bert Huang变换基本概念和原理的基础上，进行仿真算例分析，处理行波参数，得出测距结果并进行误差分析，并与小波变换进行对比。实验表明，本方法有效且精度较高。
위제고고장측거적정도、증강자괄응성、제고대우저빈신호적분변，제출사용Hilbert Huang방법진행고장측거。장고장점적행파신호수선진행경험모태분해（EMD），재대분해득도적IMF1진행Hil-bert Huang변환득도신호순시빈솔도，진이조출빈솔돌변점적시간진행행파파두적식별。재개소료Hil-bert Huang변환기본개념화원리적기출상，진행방진산례분석，처리행파삼수，득출측거결과병진행오차분석，병여소파변환진행대비。실험표명，본방법유효차정도교고。
To improve the accuracy of fault location,enhance the adaptability,improve the resolution of low fre-quency signal,this paper proposes a method of using the Hilbert-Huang transform for fault location. The proposed approach carries on the Empirical Mode Decomposition (EMD)for the traveling wave signal of fault point firstly, and then applies Hilbert-Huang transform to the first intrinsic mode function (IMF1)to get the signal instantane-ous frequency graph and finds out the time of frequency mutation point to identify the wave front of the traveling wave. On the basis of introducing the basic concept and principle of the Hilbert-Huang transform,the simulation example and wave parameters are analyzed then the results of distance measuring are found and the error analysis is carried on and compared with wavelet transform. The experimental results show that this method is effective and has high precision.