Extreme Value Inference of Axle Stress Spectrum for Intercity EMU

DING Ran; LI Qiang; WANG Wenjing

doi:10.3969/j.issn.0258-2724.20190662

Volume 56 Issue 3

Jun. 2021

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Journal of Southwest Jiaotong University > 2021 > 56(3): 634-639, 665.

DING Ran, LI Qiang, WANG Wenjing. Extreme Value Inference of Axle Stress Spectrum for Intercity EMU[J]. Journal of Southwest Jiaotong University, 2021, 56(3): 634-639, 665. doi: 10.3969/j.issn.0258-2724.20190662

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DING Ran, LI Qiang, WANG Wenjing. Extreme Value Inference of Axle Stress Spectrum for Intercity EMU[J]. Journal of Southwest Jiaotong University, 2021, 56(3): 634-639, 665. doi: 10.3969/j.issn.0258-2724.20190662

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Extreme Value Inference of Axle Stress Spectrum for Intercity EMU

doi: 10.3969/j.issn.0258-2724.20190662

Received Date: 29 Jul 2019
Rev Recd Date: 23 Sep 2019

Available Online: 23 Oct 2019

Publish Date: 15 Jun 2021

Abstract

Abstract

In order to evaluate the reliability and extend stress spectra of axles, the maximum stress during its full life need to be predicted. First, to obtain the empirical cumulative distribution function of axle stress, the bin width of 0.5 MPa is chosen, which is based on the Sturges formula as a tradeoff between the inferred accuracy and statistical efficiency, and the rain flow counting is performed against the measured axial stress-time history. Secondly, the empirical mean excess function is calculated according to different threshold values and the reasonable threshold is determined by identifying the turning point of the mean excess function. Then, based on Pickands-Balkema-de Haan theorem, the excess distribution function of the axle stress is fitted with the generalized Pareto distribution, and the maximum stress during the full life is inferred with the fitted distribution. Finally, this method is verified with the measured data. The results show that in order to assess the maximum axle stress during its full life, the tests of 3000 km are required at least. The inferred maximum stress with the measured data of 13.5 t wheel load is about 13% higher than that with the one of 14.1 t wheel load. Therefore it should be particularly cautious to operate at axle design weight.
- axle,
- load spectrum analysis,
- extreme value inference,
- reliability theory

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References(18)

References

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Extreme Value Inference of Axle Stress Spectrum for Intercity EMU

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