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基于最优复Morlet小波的结构密集模态参数识别
引用本文:杜永峰,赵丽洁,党星海,李万润. 基于最优复Morlet小波的结构密集模态参数识别[J]. 振动与冲击, 2015, 34(1): 135-139
作者姓名:杜永峰  赵丽洁  党星海  李万润
作者单位:1. 兰州理工大学,甘肃省土木工程防灾减灾重点实验室,兰州 730050;2. 西部土木工程防灾减灾教育部工程研究中心,兰州 730050
摘    要:
针对结构密集模态参数识别精度不高的问题,提出了一种小波Shannon熵与最小标准差相结合来优化复Morlet小波参数的方法。首先理论推导了中心频率与带宽参数的取值范围,其次采用两个最小原则对中心频率与带宽参数同时进行优化,通过仿真算例和模型实验的参数识别,验证了参数优化后的Morlet小波可准确地识别结构的密集模态参数,并且具有一定的抗噪性能。

关 键 词:小波变换   参数优化   密集模态   参数识别   

Identification of structural closely spaced modes parameters based on optimized complex Morlet wavelet
DU Yong-feng,ZHAO Li-jie,DANG Xing-hai,LI Wan-run. Identification of structural closely spaced modes parameters based on optimized complex Morlet wavelet[J]. Journal of Vibration and Shock, 2015, 34(1): 135-139
Authors:DU Yong-feng  ZHAO Li-jie  DANG Xing-hai  LI Wan-run
Affiliation:1. Key Laboratory of Disaster Prevention and Mitigation in Civil Engineering of Gansu Province,Lanzhou University of Technology,Lanzhou 730050; 2. Western Engineering Research Center of Disaster Mitigation in Civil Engineering of Ministry of Education,Lanzhou 730050
Abstract:
The paper presents the a method of the research on structural closely spaced modes parameter identification. A new optimization method with center frequency and bandwidth parameters of complex morlet wavelet was proposed, which uses combining Wavelet Shannon and minimum standard deviation. Firstly, the range of the center frequency and bandwidth parameters were derived theoretical .Secondly, center frequency and bandwidth parameters were optimized by two minimum criterion simultaneously. The accuracy and anti-noise performance of the optimization method has been confirmed through numerical simulation model and framework model experimental test.
Keywords:wavelet transform  parameter optimization  closely spaced modes  parameter identification
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