变分模态分解和同步挤压小波变换识别时变结构瞬时频率  被引量:22

Instantaneous frequency identification of time-varying structures using variational mode decomposition and synchrosqueezing wavelet transform

在线阅读下载全文

作  者:刘景良 郑锦仰 林友勤[2] 邱仁辉 骆勇鹏 LIU Jingliang;ZHENG Jinyang;LIN Youqin;QIU Renhui;LUO Yongpeng(School of Transportation and Civil Engineering,Fujian Agriculture and Forestry University,Fuzhou 350002,China;School of Civil engineering,Fuzhou University,Fuzhou 350108,China)

机构地区:[1]福建农林大学交通与土木工程学院,福州350002 [2]福州大学土木工程学院,福州350108

出  处:《振动与冲击》2018年第20期24-31,共8页Journal of Vibration and Shock

基  金:国家自然科学基金青年项目(51608122);福建省自然科学基金青年科技人才创新项目(2016J05111);福建农林大学杰出青年科研人才计划项目(XJQ201728)

摘  要:针对土木工程领域存在的时变多分量响应信号,提出一种变分模态分解定理和同步挤压小波变换理论相结合的时变结构响应信号瞬时频率识别新方法。该方法首先利用响应信号的小波量图判断分量信号的个数,然后通过变分模态分解定理将多分量信号自适应地分解为多个分量信号,最后对分解得到的分量信号进行同步挤压小波变换并识别其瞬时频率。通过一个多分量信号数值算例、一个质量突变悬臂梁试验和一个时变拉索试验验证该方法的有效性,研究结果表明:提出的新方法能够有效识别时变结构响应信号的瞬时频率,且识别效果优于传统的希尔伯特-黄变换和连续小波变换。A combined method based on variational mode decomposition(VMD)and synchrosqueezing wavelet transform(SWT)was proposed to identify instantaneous frequencies from multi-component response signals of civil engineering structures.The wavelet scalogram was first introduced to estimate the number of the components contained in a response signal.Then,the VMD was used to decompose the response signal into several mono-components self-adaptively and the SWT was performed on the decomposed component signals to extract their instantaneous frequencies.A multi-component simulation,an aluminum cantilever beam test with abrupt mass reduction and a steel cable test with time-varying tension forces were used to verify the effectiveness and accuracy of the proposed method.The results demonstrated that the proposed method performs better than the traditional Hilbert-Huang transform and the continuous wavelet transform.

关 键 词:变分模态分解 同步挤压小波变换 多分量信号 时变结构 瞬时频率 

分 类 号:TN911.6[电子电信—通信与信息系统] TU311.3[电子电信—信息与通信工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象