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Synthesis of running rms-induced non-Gaussian random vibration based on Weibull distribution

机译:基于Weibull分布的运行RMS诱导的非高斯随机振动的合成

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Field random vibration is usually non-Gaussian, which makes ordinary random vibration testing unable to simulate the fatigue damage that products will experience in field.A new method is proposed in this paper to synthesize running RMS-induced non-Gaussian vibration based on the probability distribution of running RMS (root mean square), which is simulated by using the two-parameter Weibull distribution.Shock response spectrum (SRS) is used to detect significant transients within signals.The synthesized non-Gaussian signal has the same PSD,kurtosis and PDF (probability density function) as the field data.Fatigue damage spectrum (FDS)is used as another proof of the effectiveness of this proposed new method.
机译:现场随机振动通常是非高斯,这使得普通随机振动测试无法模拟产品在现场经验的疲劳损坏。在本文中提出了新方法,以基于概率合成运行RMS诱导的非高斯振动通过使用双参数Weibull分布模拟的运行RMS(均方根)的分布.Shock响应频谱(SRS)用于检测信号内的显着瞬变。合成的非高斯信号具有相同的PSD,Kurtosis和PDF(概率密度函数)作为现场Data.fatigue损伤频谱(FDS)用作这一提出的新方法的效力的另一种证明。

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