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

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Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (12) : 203-211.

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

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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.

Key words

non-Gaussian random vibration / gaussian mixture model / Probability density function / logistics packaging

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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

References

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