| 基于复Morlet小波变换的车体模态参数识别 |
| |
| 引用本文： | 张远亮,张立民,张艳斌,贺小龙. 基于复Morlet小波变换的车体模态参数识别[J]. 大连交通大学学报, 2014, 0(4): 93-96 |
| |
| 作者姓名： | 张远亮 张立民 张艳斌 贺小龙 |
| |
| 作者单位： | 西南交通大学牵引动力国家重点实验室,四川成都610031 |
| |
| 摘 要： | 详细推导了基于复Morlet小波变换的车体模态参数识别过程.对国内某高速动车组纯车体进行多点激励正弦扫频,利用随机减量法对车体振动响应信号进行随机减量处理,获取自由振动信号,首次运用小波理论对高速动车进行模态参数识别.同时也运用最小二乘法识别各阶振型.识别结果与商用软件Test.Lab对比,频率误差小于2％,说明小波分析适合用于高速车体这样复杂系统的参数识别.
|
| 关 键 词： | 小波变换理论 参数识别 随机减量法 最小二乘法 高速车体 |
Identification of Vehicle Modal Parameter Based on Complex Morlet Wavelet |
| |
| ZHANG Yuan-liang,ZHANG Li-min,ZHANG Yan-bin,HE Xiao-long. Identification of Vehicle Modal Parameter Based on Complex Morlet Wavelet[J]. Journal of Dalian Jiaotong University, 2014, 0(4): 93-96 |
| |
| Authors: | ZHANG Yuan-liang ZHANG Li-min ZHANG Yan-bin HE Xiao-long |
| |
| Affiliation: | ( The State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China) |
| |
| Abstract: | Body modal parameter identification based on complex Morlet wavelet transform is deduced.Multipoint sine sweep in a high-speed pure body EMU,is applied and the random decrement method is used to handle car body vibration response signal to obtain free vibration signal.The wavelet theory is used to identify the modal parameters of high speed train for the first time,and the least squares method is used to identify each order modal vibration.Identification results show that the frequency error is less than 2％,compared with commercial software Test.Lab,and the wavelet transform is suitable for high-speed car body parameter identification of such complex systems. |
| |
| Keywords: | wavelet transform theory parameter identification random decrement method the least square method high-speed car body |
| 本文献已被 维普 等数据库收录！ |
|
