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首页> 外文期刊>Advances in Mechanical Engineering >Reliability estimation for drive axle of wheel loader under extreme small sample:
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Reliability estimation for drive axle of wheel loader under extreme small sample:

机译：极小样本下轮式装载机驱动轴的可靠性估算：

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It is difficult to have enough samples to implement the full-scale life test on the loader drive axle due to high cost. But the extreme small sample size can hardly meet the statistical requirements of the traditional reliability analysis methods. In this work, the method of combining virtual sample expanding with Bootstrap is proposed to evaluate the fatigue reliability of the loader drive axle with extreme small sample. First, the sample size is expanded by virtual augmentation method to meet the requirement of Bootstrap method. Then, a modified Bootstrap method is used to evaluate the fatigue reliability of the expanded sample. Finally, the feasibility and reliability of the method are verified by comparing the results with the semi-empirical estimation method. Moreover, from the practical perspective, the promising result from this study indicates that the proposed method is more efficient than the semi-empirical method. The proposed method provides a new way for the reliability evaluation of costly a...
机译：由于成本高昂，很难有足够的样本来在装载机驱动桥上进行全面寿命测试。但是，极小的样本量几乎无法满足传统可靠性分析方法的统计要求。在这项工作中，提出了将虚拟样本扩展与Bootstrap相结合的方法，以评估带有极小样本的装载机驱动轴的疲劳可靠性。首先，通过虚拟扩增方法扩展样本量，以满足Bootstrap方法的要求。然后，使用改进的Bootstrap方法来评估膨胀样品的疲劳可靠性。最后，通过将结果与半经验估计方法进行比较，验证了该方法的可行性和可靠性。而且，从实践的角度来看，这项研究的有希望的结果表明，所提出的方法比半经验方法更有效。所提出的方法为昂贵的传感器可靠性评估提供了一种新的方法。

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