中文说明：
优秀论文及配套源码。Hilbert-Huang变换(HHT)是一种新的非平稳信号处理技术，该方法由经验模态 分解(EMD)与Hilbert谱分析两部分组成。任意的非平稳信号首先经过EMD方法处理后被分解为一系列具有不同特征尺度的数据序列，每一个序列称为一个固有模态函数(IMF)，然后对每个IMF分量进行Hilbert谱分析得到相应分量的Hilbert谱，汇总所有Hilbert谱就得到了原信号的谱图。该方法从本质上讲是对非平稳信号进行平稳化处理，将信号中真实存在的不同尺度波动或趋势逐级分解出来，最终用瞬时频率和能量来表征原信号的频率含量。 本文研究了基于HHT的暂态电能质量扰动检测方法，介绍了HHT的基本原理和利用HHT检测电能质量多扰动信号的实现方法。仿真试验表明该方法可以实时检测扰动的起止时刻，持续时间和扰动幅度，适用于电能质量多扰动的监测和辨识系统。
English Description：
Good papers and supporting the source code.Hilbert - Huang transform (HHT) is a kind of new non-stationary signal processing technology, this method by empirical mode decomposition (EMD) and Hilbert spectrum analysis of two parts.Arbitrary non-stationary signal after dealing with the EMD method is first decomposed into a series of characteristics with different scale data sequences, each sequence is called an intrinsic mode function (IMF), and then analyses the Hilbert spectrum for each IMF component to get the corresponding component of the Hilbert spectrum, summarizing all the Hilbert spectrum have the spectra of the original signal.This method is essentially to smooth processing of nonstationary signal, the signal in different scale fluctuation in the real or trends into step by step, finally with instantaneous frequency and energy to represent the frequency content of the original signal._ this paper studies the transient power quality disturbance detection based on HHT method, this paper introduces the basic principle of HHT and using the HHT method to realize the detection of power quality disturbance signal more.Simulation experiment shows that the method can real-time detect disturbance begin-end time, duration and the disturbance amplitude, is suitable for the power quality disturbance monitoring and identification system.