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基于局域均值分解的冲击响应谱时域波形合成新方法
引用本文:师培峰,邱伟,王振田,吴瑞斌,陈柯勋,王晓斌.基于局域均值分解的冲击响应谱时域波形合成新方法[J].航天器环境工程,2018,35(2):135-140.
作者姓名:师培峰  邱伟  王振田  吴瑞斌  陈柯勋  王晓斌
作者单位:北京强度环境研究所, 北京 100076,北京强度环境研究所, 北京 100076,北京强度环境研究所, 北京 100076,北京强度环境研究所, 北京 100076,北京强度环境研究所, 北京 100076,北京强度环境研究所, 北京 100076
摘    要:冲击响应谱时域波形合成技术是目前实验室环境下模拟实际复杂冲击环境的重要手段。文章在研究局域均值分解(LMD)方法和冲击响应谱时域波形合成原理的基础上,对实测冲击时域波形进行分解得到一组具有不同频率分布的PF信号分量,然后对不同频率分布的PF信号分量进行聚类分析并重新构造得到一组新的PF信号分量,使得PF信号分量的频率-幅值特性与设定的冲击响应谱试验条件一致。将重构后的PF信号分量组合即可得到合成后的冲击时域波形。数值仿真分析结果表明,基于LMD的冲击响应谱时域波形合成新方法生成的冲击时域波形能更好模拟真实冲击环境,冲击响应谱具有较好的控制精度。

关 键 词:冲击响应谱  局域均值分解  波形合成  聚类分析  数值仿真
收稿时间:2017/11/29 0:00:00
修稿时间:2018/4/1 0:00:00

A new method for time domain waveform synthesis of shock response spectrum based on local mean decomposition
SHI Peifeng,QIU Wei,WANG Zhentian,WU Ruibin,CHEN Kexun and WANG Xiaobin.A new method for time domain waveform synthesis of shock response spectrum based on local mean decomposition[J].Spacecraft Environment Engineering,2018,35(2):135-140.
Authors:SHI Peifeng  QIU Wei  WANG Zhentian  WU Ruibin  CHEN Kexun and WANG Xiaobin
Institution:Beijing Institute of Structure and Environment Engineering, Beijing 100076, China,Beijing Institute of Structure and Environment Engineering, Beijing 100076, China,Beijing Institute of Structure and Environment Engineering, Beijing 100076, China,Beijing Institute of Structure and Environment Engineering, Beijing 100076, China,Beijing Institute of Structure and Environment Engineering, Beijing 100076, China and Beijing Institute of Structure and Environment Engineering, Beijing 100076, China
Abstract:The technique of time domain waveform synthesis of shock response spectrum is an important approach to simulate the complex shock environment in laboratory. The measured time domain waveform is decomposed by the local mean decomposition (LMD) method, and a set of PF signal components with different frequency distributions are obtained based on the LMD and the time domain waveform synthesis of the shock response spectrum. Then, a new set of PF signal components is reconstructed by using the data clustering analysis method for reconstructing the prior PF signal components. The frequency-amplitude characteristics of the new PF signal components are made to be consistent with the set of the shock response spectrum test conditions. The impulse signal can therefore be reconstructed by properly combining the reconstructed signal components. Simulation results show that the time domain waveform obtained from the shock response spectrum generated by the new method based on the LMD method can well represent the real shock environment, and the shock response spectrum has a good control accuracy.
Keywords:shock response spectrum (SRS)  local mean decomposition (LMD)  waveform synthesis  data clustering analysis  numerical simulation
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