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Estimation on Reliability Models of Bearing Failure Data

机译：轴承失效数据可靠性模型的估计

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摘要

The failure data of bearing products is random and discrete and shows evident uncertainty. Is it accurate and reliable to use Weibull distribution to represent the failure model of product? The Weibull distribution, log-normal distribution, and an improved maximum entropy probability distribution were compared and analyzed to find an optimum and precise reliability analysis model. By utilizing computer simulation technology and k-s hypothesis testing, the feasibility of three models was verified, and the reliability of different models obtained via practical bearing failure data was compared and analyzed. The research indicates that the reliability model of two-parameter Weibull distribution does not apply to all situations, and sometimes, two-parameter log-normal distribution model is more precise and feasible; compared to three-parameter log-normal distribution model, the three-parameter Weibull distribution manifests better accuracy but still does not apply to all cases, while the novel proposed model of improved maximum entropy probability distribution fits not only all kinds of known distributions but also poor information issues with unknown probability distribution, prior information, or trends, so it is an ideal reliability analysis model with least error at present.
机译：轴承产品的故障数据是随机的和离散的，并显示出明显的不确定性。用Weibull分布表示产品的故障模型是否准确可靠？对威布尔分布，对数正态分布和改进的最大熵概率分布进行了比较和分析，以找到最佳且精确的可靠性分析模型。通过计算机仿真技术和k-s假设检验，验证了三种模型的可行性，并比较了通过实际轴承故障数据获得的不同模型的可靠性。研究表明，两参数威布尔分布的可靠性模型并不适用于所有情况，有时两参数对数正态分布模型更为精确可行。与三参数对数正态分布模型相比，三参数威布尔分布表现出更好的准确性，但仍不适用于所有情况，而提出的改进的最大熵概率分布模型不仅适用于所有已知分布，而且适用于所有已知分布。具有未知概率分布，先验信息或趋势的不良信息问题，因此它是目前误差最小的理想可靠性分析模型。

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  • 来源
    《Mathematical Problems in Engineering》 |2018年第3期|6189527.1-6189527.21|共21页
  • 作者

    Xia Xintao; Chang Zhen; Zhang Lijun; Yang Xiaowei;

  • 作者单位

    Henan Univ Sci & Technol, Mechatron Engn Coll, Luoyang 471003, Peoples R China;

    Henan Univ Sci & Technol, Mechatron Engn Coll, Luoyang 471003, Peoples R China;

    Univ Sci & Technol Beijing, Natl Ctr Mat Serv Safety, Beijing 10083, Peoples R China;

    Luoyang Bearing Res Inst Co Ltd, Luoyang 471039, Peoples R China;

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