基于高斯混合模型的物流非高斯随机振动损伤分析

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振动与冲击 ›› 2024, Vol. 43 ›› Issue (12) : 203-211.

论文

基于高斯混合模型的物流非高斯随机振动损伤分析

郭涛1，葛长风2，夏斯璇1，殷诚1，林康1，钱静1,3

作者信息 +

Non-Gaussian random vibration damage analysis of logistics based on a Gaussian mixture model method

GUO Tao1,GE Changfeng2,XIA Sixuan1,YIN Cheng1,LIN Kang1,QIAN Jing1,3

Author information +

文章历史 +

摘要

针对公路运输环境中的振动信号具有明显的非高斯性，提出一种非高斯随机振动疲劳损伤分析方法。为了描述振动信号的幅值概率密度分布，采用移动加速度均方根来代表该段信号的振动强度，并引入高斯混合模型对加速度均方根值进行描述。在此基础上结合Tovo-Benasciutti方法和Dirlik方法推导出非高斯宽带频域疲劳损伤计算方法。最后，以雨流计数法作为参考，对不同峭度的实测振动信号进行疲劳损伤分析，结果表明，与传统频域疲劳损伤计算方法相比较，提出的非高斯疲劳损伤方法具有更高的计算精度。该研究对于运输包装件的随机振动加速试验设计有实际意义。

Abstract

Aiming at the obvious non-Gaussian property of vibration signals in transportation environment, a non-Gaussian random vibration damage analysis method based on Gaussian mixture model is proposed. To describe the amplitude probability density distribution of the vibration signal, the moving root mean square of acceleration is introduced to represent the vibration intensity of the signal, and the Gaussian mixture model is used to describe the probability density distribution of root mean square of acceleration. On this basis, combined with Tovo-Benasciutti method and Dirlik method, a non-Gauss broadband frequency domain fatigue damage calculation method is derived. Finally, the fatigue damage analysis of measured vibration signals with different kurtosis is carried out with rain flow counting method as a reference. The results show that compared with traditional fatigue damage calculation methods in frequency domain, the calculation accuracy of the proposed non-Gaussian fatigue damage method is significantly improved.

导出引用

郭涛1, 葛长风2, 夏斯璇1, 殷诚1, 林康1, 钱静1, 3. 基于高斯混合模型的物流非高斯随机振动损伤分析[J]. 振动与冲击, 2024, 43(12): 203-211

GUO Tao1, GE Changfeng2, XIA Sixuan1, YIN Cheng1, LIN Kang1, QIAN Jing1, 3 . Non-Gaussian random vibration damage analysis of logistics based on a Gaussian mixture model method[J]. Journal of Vibration and Shock, 2024, 43(12): 203-211

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