Kurtosis transfer in MDOF systems under amplitude-modulated Non-Stationary Non-Gaussian Excitations: A Frequency-Domain decomposition approach

Non-stationary non-Gaussian random vibrations, frequently encountered in aerospace, mechanical, and civil systems, often induce transient structural responses with complex and unpredictable dynamics. Kurtosis, a key statistical measure of signal impulsiveness, plays a dual role in characterizing such transient behaviors and assessing vibration fatigue damage. This study develops a kurtosis transfer model for multi-degree-of-freedom (MDOF) systems under amplitude-modulated non-stationary non-Gaussian excitations, assuming the excitation spectrum sufficiently covers the system’s modal frequencies to induce resonance-dominated responses. The proposed framework reveals how kurtosis is selectively transmitted through specific modal pathways by establishing a mathematical relationship between frequency-domain excitation substructures and the resulting response kurtosis. In addition, a phase modulation strategy is introduced to adjust the non-Gaussian properties of decomposed excitation signals, thereby enabling active control of the system’s response kurtosis. Numerical simulations and experimental validations confirm the model’s predictive accuracy. The resulting methodology offers a physically interpretable and computationally efficient framework for known vibration systems, supporting both dynamic analysis and the design of excitation signals with targeted kurtosis levels for accelerated vibration fatigue testing.

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Publication Details

Journal
Mechanical Systems and Signal Processing
Published
2025-07-05
DOI
https://doi.org/10.1016/j.ymssp.2025.113059
Primary Topic
Image and Signal Denoising Methods
Type
article
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article

Kurtosis transfer in MDOF systems under amplitude-modulated Non-Stationary Non-Gaussian Excitations: A Frequency-Domain decomposition approach

Wuyang Lei, Yu Jiang, Jinhao Zhang, Yawen Tian et al.
Mechanical Systems and Signal Processing
Image and Signal Denoising Methods
article

Kurtosis transfer in MDOF systems under amplitude-modulated Non-Stationary Non-Gaussian Excitations: A Frequency-Domain decomposition approach

Wuyang Lei, Yu Jiang, Jinhao Zhang, Yawen Tian, Hongbo Tang
article en

Abstract

Non-stationary non-Gaussian random vibrations, frequently encountered in aerospace, mechanical, and civil systems, often induce transient structural responses with complex and unpredictable dynamics. Kurtosis, a key statistical measure of signal impulsiveness, plays a dual role in characterizing such transient behaviors and assessing vibration fatigue damage. This study develops a kurtosis transfer model for multi-degree-of-freedom (MDOF) systems under amplitude-modulated non-stationary non-Gaussian excitations, assuming the excitation spectrum sufficiently covers the system’s modal frequencies to induce resonance-dominated responses. The proposed framework reveals how kurtosis is selectively transmitted through specific modal pathways by establishing a mathematical relationship between frequency-domain excitation substructures and the resulting response kurtosis. In addition, a phase modulation strategy is introduced to adjust the non-Gaussian properties of decomposed excitation signals, thereby enabling active control of the system’s response kurtosis. Numerical simulations and experimental validations confirm the model’s predictive accuracy. The resulting methodology offers a physically interpretable and computationally efficient framework for known vibration systems, supporting both dynamic analysis and the design of excitation signals with targeted kurtosis levels for accelerated vibration fatigue testing.

Mechanical Systems and Signal ProcessingVol. 236
National University of Defense Technology (CN)
Openalex Percentile: Top 86%
Image and Signal Denoising Methods
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