Research on quality achieving reliability of bearing based on fuzzy weight

夏新涛; 刘斌; 李云飞; 张纪祥

doi:10.13224/j.cnki.jasp.2018.12.023

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Research on quality achieving reliability of bearing based on fuzzy weight

更新时间：2026-07-07

- Research on quality achieving reliability of bearing based on fuzzy weight
- Vol. 33, Issue 12, (2018)
- 作者机构：
  
  1. 河南科技大学机电工程学院,河南,洛阳,471003
  2. 临沂开元轴承有限公司技术中心,山东,临沂,276300
- 作者简介：
- 基金信息：
- DOI：10.13224/j.cnki.jasp.2018.12.023
  CLC：
- Published：2018
- 稿件说明：
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夏新涛, 刘斌, 李云飞, 张纪祥. 基于模糊权重的轴承品质实现可靠性研究[J]. 航空动力学报, 2018, 33(12). doi: 10.13224/j.cnki.jasp.2018.12.023

夏新涛, 刘斌, 李云飞, et al. Research on quality achieving reliability of bearing based on fuzzy weight[J]. 2018, 33(12).
夏新涛, 刘斌, 李云飞, 张纪祥. 基于模糊权重的轴承品质实现可靠性研究[J]. 航空动力学报, 2018, 33(12). doi: 10.13224/j.cnki.jasp.2018.12.023 DOI：

夏新涛, 刘斌, 李云飞, et al. Research on quality achieving reliability of bearing based on fuzzy weight[J]. 2018, 33(12). DOI： 10.13224/j.cnki.jasp.2018.12.023.

摘要

以模糊数学理论为基础，提出了轴承品质影响因素权重确定的方法。对原始的轴承品质实现可靠性模型进行修正，提出了改进的轴承品质实现可靠性模型，并基于最大熵原理对轴承品质实现可靠性的真值及真值区间进行估计。以30306和30204圆锥滚子轴承为对象进行试验研究，发现原始的可靠性模型计算结果相对于试验结果的偏差为20%~35%，改进的可靠性模型计算结果相对与试验结果的偏差为12%~14%，偏差降低了8%~21%，可见改进的可靠性模型比原始的可靠性模型更准确。

Abstract

Based on the theory of fuzzy mathematics

the method to determine the weight of bearing quality influencing factors was put forward. The original model of quality achieving reliability was modified and the improved model of bearing quality achieving reliability was proposed. Then the true value and true value interval of bearing quality achieving reliability were further estimated based on the maximum entropy principle. Taking two kinds of tapered roller bearing

30306 and 30204

as experimental objects

it was found that the deviation of the original reliability model calculation from the test results was 20%-35%

and the deviation of the improved reliability model calculation from the test results was 12%-14%

which was reduced by 8%-21%. It can be known that the improved reliability model is more accurate than the original reliability model.

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Related Institution

School of Mechatronics Engineering， Henan University of Science and Technology

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