东篱科研大数据发现系统（DRDS）

位置：成果数据库 > 期刊 > 期刊详情页

Wavelet_Huang和Hilbert_Huang方法用于非高斯风压信号分析的比较研究

期刊名称：土木工程学报,2011,44(6):61-67
时间：0
分类：TU311.3[建筑科学—结构工程] TU18[建筑科学—建筑理论]
作者机构：[1]同济大学土木工程防灾国家重点实验室,上海200092
相关基金：国家自然科学基金委重大研究计划重点研究项目（90715039）、国家自然科学基金（50978203）; 科技部重大科技项目（008ZX06004-001）
相关项目：超大跨度桥梁风致灾变关键效应与过程控制

关键词： Hilbert_Huang变换, Wavelet_Huang变换, 非高斯风压信号, IMF分量, 谱分析, Hilbert_Huang transform, Wavelet_Huang transform, non-Gaussian wind pressure signal, IMF, spectrum analysis

中文摘要：

非高斯风压时程具有间歇性的大脉冲信号和不对称性,传统的傅里叶变换无法得到信号的频谱特性随时间的变化过程,也不能识别出不同频段处信号的变异性。采用一种结合经验模式分解（EMD）和小波变换（WaveletTransform）的方法（简称WHT）对非高斯风压信号进行时-频-谱联合特性分析,随后讨论了不同频段处信号的奇异性、冲击性和分辨率;并和Hilbert_Huang变换（简称HHT）分析的结果进行对比。两种方法处理非高斯信号都能很好地提取信号的主要特征和分解、重构;由于小波基尺度有限并受到测不准原理的限制,WHT方法得到的小波谱的能量在频率范围内分布较宽,而HHT方法得到的Hilbert能量谱大多都集中在有限的能量谱线上;WHT方法进行不同频段处信号的变异性检测是对EMD分解得到的IMF分量进行小波分解,其更能反映原始数据的固有特性,在任意感兴趣的频段捕捉到信号的局部特征。研究结果表明,HHT方法可以更好地进行非高斯信号的谱特性分析,而WHT方法在信号的分解、重构和变异性检测时效果更好。

英文摘要：

The non-Gaussian wind pressure signal has intermittent high pulses and asymmetric characteristics,while traditional Fourier transform cannot get the signal spectrum characteristics over time and the variability in different frequencies.In this paper,the empirical mode decomposition（EMD） and wavelet transform methods are employed in combination to analyze the time-frequency-spectrum of non-Gaussian wind pressure signals,the singularity and impact characteristics of different frequencies are discussed,and the results are compared with those calculated by using Hilbert_Huang transform.The study shows that both WHT and HHT are efficient ways of analyzing the main characteristics and decomposing the non-Gaussian signals.Due to the limit wavelet scale and Heisenberg principle,the wavelet spectrum lines by WHT are distributed in a wide frequency range,but Hilbert energy spectrum by HHT clearly expresses the energy distribution with time and frequency.With WHT method,the intrinsic mode function obtained with EMD can reflect the intrinsic physical characteristics with wavelet transform,and local characteristics of arbitrary frequency can be obtained.It can be concluded that the HHT method is more adaptive than WHT method in analyzing the spectrum characteristics of non-Gaussian signal,while WHT method has a wide range of application for decomposition,restructuring and measurement of variabilities.

同期刊论文项目