[1]曹源,汪凤泉,桂益俊.基于遗传算法的冲击信号拟合[J].东南大学学报(自然科学版),2007,37(2):320-323.[doi:10.3969/j.issn.1001-0505.2007.02.027]
 Cao Yuan,Wang Fengquan,Gui Yijun.Research of shock signal curve fit based on genetic algorithm[J].Journal of Southeast University (Natural Science Edition),2007,37(2):320-323.[doi:10.3969/j.issn.1001-0505.2007.02.027]
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基于遗传算法的冲击信号拟合()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
37
期数:
2007年第2期
页码:
320-323
栏目:
数学、物理学、力学
出版日期:
2007-03-20

文章信息/Info

Title:
Research of shock signal curve fit based on genetic algorithm
作者:
曹源1 汪凤泉1 桂益俊2
1 东南大学土木工程学院, 南京 210096; 2 东南大学信息科学与工程学院, 南京 210096
Author(s):
Cao Yuan1 Wang Fengquan1 Gui Yijun2
1 School of Civil Engineering, Southeast University, Nanjing 210096, China
2 School of Information Science and Engineering, Southeast University, Nanjing 210096, China
关键词:
冲击 曲线拟合 遗传算法 插值
Keywords:
shock curve fit genetic algorithm interpolation
分类号:
TB123
DOI:
10.3969/j.issn.1001-0505.2007.02.027
摘要:
为便于冲击响应谱的工程应用,以正弦衰减基波组合的形式对冲击信号的拟合进行了研究.通过该拟合形式与遗传算法的结合,将拟合问题转化为参数的搜索与优化问题.考虑到冲击信号在时域内表现出的复杂特征,对其在频域内进行拟合优化,并最终得到优化的信号拟合形式.在观察与分析冲击信号的频域特征以后,采取信号尺度调整、优化参数归一化以及插值运算等措施提高算法的拟合精度.仿真试验表明,冲击信号在频域内的拟合具有较强的适用性,遗传算法的全局优化能力适合于该组合形式下的冲击信号拟合.算法中所采取的改进措施有利于运算效率和拟合精度的提高.
Abstract:
Shock response signal curve fitting in the form of assembling the damped sin wavelets is researched to make the shock response spectrum’s(SRS)engineering application more concenient. Combining the fitting form and the genetic algorithm(GA), the curve fitting is translated into the parameters’ searching and optimizing. Considering the complex characters of shock response signal in time domain, the signal is fitted and optimized in frequency domain, and the fit form after optimizing is acquired in the end. After the view and analysis of shock response signal character in frequency domain, the steps such as signal scale adjustment, normalization of optimized parameter and the interpolating operation are taken to improve the fit precision. Simulation test shows that better applicability is presented by fitting the shock response signal curve in frequency domain, and the allround optimization ability of GA is adaptable in fitting the signal under this form. The improved measurements in algorithm are favourable to the increasing of operation efficiency and curve fit precision.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介: 曹源(1979—),男,博士生; 汪凤泉(联系人),男,教授,博士生导师,wangjun3312@yahoo.com.cn.
更新日期/Last Update: 2007-03-20