摘要
在基于泄流激励坝体受迫振动响应的结构损伤识别过程中,测得的振动信号不仅包含结构损伤信息,同时还存在大量复杂低频、高频噪声干扰,传统去噪算法很难将坝体微弱振动信号完整提取出来.引入运算效率高、抗噪声强、抗模态混叠的变分模态分解(VMD)并对其进行改进.改进VMD算法只能滤除高频噪声,而坝体有用振动信号主成分耦合在低频密频噪声中.利用具有主成分提取优势的奇异谱分析(SSA)算法对改进VMD算法重构的信号二次去噪以滤除低频噪声.实验数据表明,该联合算法可为研究基于振动响应的结构损伤识别与定位提供先决条件.
In the process of structural damage identification of a dam based on vibration response induced by the water flow,the vibration signal not only contains the structural damage information,but a large amount of low and high frequency noise.The traditional de-noising method cannot extract the weak vibration signal of a dam completely.The variational modal decomposition(VMD)algorithm was improved and used to de-noise due to the advantages of high computing efficiency,strong noise resistance,and anti-aliasing.However,the improved VMD algorithm can only filtered the high frequency noise and the principal component of the dam vibration signal was still coupled in low and dense frequency noise.Therefore,the singular spectrum analysis(SSA)algorithm,which has the advantage in extracting the principal component,was applied to filter the low frequency noise from the signal denoised by the improved VMD algorithm.Experimental data show that this joint algorithm can provide a prerequisite for structural damage identification and localization based on vibration response.
作者
李慧
包腾飞
顾冲时
LI Hui;BAO Tengfei;GU Chongshi(State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering,Hohai University,Nanjing 210098,China;College of Water Conservancy and Hydropower Engineering,Hohai University,Nanjing 210098,China;College of Hydraulic and Environmental Engineering,China Three Gorges University,Yichang 443002,China)
出处
《应用基础与工程科学学报》
EI
CSCD
北大核心
2020年第6期1326-1336,共11页
Journal of Basic Science and Engineering
基金
国家重点研发计划项目(2018YFC1508603,2016YFC0401601)
国家自然科学基金项目(51579086,51739003)
关键词
振动信号
变分模态分解
奇异谱分析
损伤识别
受迫振动响应
去噪算法
vibration signal
variational mode decomposition
singular spectrum analysis
damage identification
forced vibration response
de-noising method
作者简介
李慧(1988—),女,博士研究生;通信作者:包腾飞(1974—),男,教授,博士生导师
