北京航空航天大学学报 ›› 2014, Vol. 40 ›› Issue (9): 1239-1244.doi: 10.13700/j.bh.1001-5965.2013.0579

• 论文 • 上一篇    下一篇

非高斯随机振动的模拟方法

徐飞, 李传日, 姜同敏, 荣双龙   

  1. 北京航空航天大学 可靠性与系统工程学院, 北京 100191
  • 收稿日期:2013-10-14 出版日期:2014-09-20 发布日期:2014-10-10
  • 作者简介:徐飞(1987-),男,江苏盐城人,博士生,luoyefeihen@163.com.

Simulation of non-Gaussian random vibration

Xu Fei, Li Chuanri, Jiang Tongmin, Rong Shuanglong   

  1. School of Reliability and Systems Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
  • Received:2013-10-14 Online:2014-09-20 Published:2014-10-10

摘要:

随机振动台根据功率谱密度(PSD,Power Spectral Density)生成的信号为高斯信号,而实际振动环境有时是非高斯的,因此随机振动实验常常无法准确模拟产品在真实振动环境下的失效情况。通过两个案例分别对均方根值(RMS,Root Mean Square)不随时间变化和随时间变化的非高斯随机振动进行了模拟方法研究。案例1利用Hermite多项式法对高斯信号进行了转换,在保证功率谱密度不变的同时得到了具有指定峭度的RMS不随时间变化的非高斯信号,但该方法对于输入的峭度有限制,当输入峭度大于10时,误差达到了20%。案例2利用一种新方法对实测的RMS随时间变化的非高斯振动进行了模拟,模拟后得到的非高斯信号和实测信号具有相同的功率谱密度、峭度以及概率分布,验证了新方法的准确性。

关键词: 非高斯, 随机振动, 功率谱密度, 峭度, 概率密度函数

Abstract:

Traditionally, only Gaussian signal can be produced by random vibration controller using power spectral density (PSD). However, actual vibration is usually non-Gaussian, which makes random vibration testing unable to simulate the failure mode that products will experience. Simulation of non-Gaussian random vibration with constant root mean square (RMS) and running RMS was performed respectively using two case studies. Case study 1 uses Hermite polynomial to transform Gaussian signal to non-Gaussian signal. The synthesized non-Gaussian signal has constant RMS, desired kurtosis and the same PSD with original Gaussian signal. Case study 2 uses a new method to simulate measured non-Gaussian random vibration which has running RMS. The synthesized non-Gaussian signal has the same PSD, kurtosis and probability density function with the field data.

Key words: non-Gaussian, random vibration, power spectral density(PSD), kurtosis, probability density function

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