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铁路运输环境中超高斯随机振动信号模拟技术
引用本文:李明月,朱大鹏.铁路运输环境中超高斯随机振动信号模拟技术[J].交通科技与经济,2013,15(5):13-16.
作者姓名:李明月  朱大鹏
作者单位:兰州交通大学交通运输学院,甘肃兰州,730070
基金项目:甘肃省自然科学基金资助项目
摘    要:铁路运输过程中的振动与冲击信号往往呈超高斯分布,为模拟生成这种超高斯信号,以傅里叶变换为基础,提出一种具有尖峰特征的超高斯随机信号生成方法。采用一种指数峰值模型用来模拟振动信号的超高斯特性,得到一个与实测信号具有相同均值、RMS、近似偏斜度和峭度的超高斯随机信号。此技术较好地模拟铁路运输环境中的振动与冲击信号,为实验室对车载设备以及运输货物的可靠性验证提供理论依据。

关 键 词:超高斯  傅里叶变换  峭度  指数峰值模型

Simulation of super-Gaussian random vibration signal for railway transportation environment
LI Ming-yue , ZHU Da-peng.Simulation of super-Gaussian random vibration signal for railway transportation environment[J].Technology & Economy in Areas of Communications,2013,15(5):13-16.
Authors:LI Ming-yue  ZHU Da-peng
Institution:(School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China)
Abstract:During the railway transport, the vibration and shock are often in super-Gaussian distribution. To simulate this super-Gaussian signal, it puts forward a generation method of super-Gaussian random signal with spiky characteristic on the basis of Fourier transform. An exponential peak model is adopted to simulate super-Gaussian properties of the vibration signal, Finally a super-Gaussian random signal which has the same mean, RMS, skewness and kurtosis with the measured signal are obtained. The technology will simulate the vibration and shock signal of the railway transportation environment,which can provide a theoretical basis for the laboratory reliability tests.
Keywords:super-Gaussian  Fourier transform  kurtosis  exponential peak model
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