An accelerated editing method of multiaxial load spectrums for durability testing

Zhou, Yifu; Li, He; Luo, Zhong

doi:10.1016/j.engfracmech.2022.108569

Cited by 6 publications

(2 citation statements)

References 30 publications

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“…In fact, the solution to Equation ( 6) is essentially the power spectral density information of the signal, while that to Equation (7) is essentially the instantaneous power information.…”

Section: Wigner-ville Transform Distributionmentioning

confidence: 99%

“…Yu et al [ 6 ] proposed a concatenation of the multi-section minimum standard deviation (CMSD) spectrum, followed by a detailed analysis of the CMSD spectrum using the correlated fatigue damage analysis method. Zhou et al [ 7 ] introduced an accelerated compilation method of multiaxial rain-flow projection filtering based on the damage equivalence principle for multiaxial load spectrums. The experimental results demonstrated that it could significantly reduce the time duration while better preserving the frequency-domain characteristics of the original load.…”

Section: Introductionmentioning

confidence: 99%

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Accelerated Editing Method for Vehicle Durability Fatigue Load Spectrum Based on Wigner-Ville Transform

Yang

Zhang

Peng

et al. 2023

Sensors

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A Wigner-Ville transform-based (WVT-based) load spectrum fast editing method for vehicle parts is proposed to improve the efficiency of durability tests. In this method, the instantaneous energy spectrum (IES) of the original time-domain signal is obtained via the Wigner-Ville transform, which is used as a criterion to identify time-domain points of ineffective damage contribution. A genetic algorithm (GA) based threshold optimization model is also proposed to automatically set the threshold of the IES under consideration of the relative damage requirements and statistical parameters of the signal. The effectiveness of the above proposed editing method is demonstrated by compiling an SUV’s suspension coil spring signal obtained from physical sensor-based measurements. Meanwhile, the same spectrum is also processed using time-domain editing, Short-time Fourier-transform, and S-transform methods for comparison. The results show that the WVT-based edited spectrum has a time-duration retention ratio of about 76.30%, which is significantly superior to other methods, with the same pseudo-damage retention and statistical parameter error constraints. Moreover, in combination with the fatigue simulation analysis, it verifies that the load effect of the edited spectrum matches well with that of the original. Thus, the proposed method is considered more effective for compiling component load signals in vehicle acceleration durability tests.

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“…In fact, the solution to Equation ( 6) is essentially the power spectral density information of the signal, while that to Equation (7) is essentially the instantaneous power information.…”

Section: Wigner-ville Transform Distributionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%