| 小子样成败型产品可靠性评估方法研究 |
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| 引用本文： | 周芳,王薇,陈志军,张涛.小子样成败型产品可靠性评估方法研究[J].装备环境工程,2019,16(8):91-94. |
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| 作者姓名： | 周芳 王薇 陈志军 张涛 |
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| 作者单位： | 北京强度环境研究所,北京,100076;北京强度环境研究所,北京,100076;北京强度环境研究所,北京,100076;北京强度环境研究所,北京,100076 |
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| 摘 要： | 介绍了一种小子样成败型产品可靠性评估方法。基于"计量评估"理论原则,针对可用于评价产品的特征量的试验数据,依次运用了数据样本子样的概率分布拟合检验方法、样本数据的一致性检验和离群值识别等统计学方法,最终使用经检验的特征量试验数据完成产品的可靠性评估。使用实例数据,应用评估方法,完成了一类典型产品的可靠性评估,其中特别指出的是,在实际应用过程中,应该尤其关注离群值的识别和剔除。实例证明,此方法可用于特征量明确的小子样成败型产品的可靠性评估。
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| 关 键 词： | 小子样 成败型 可靠性评估方法 离群值 |
| 收稿时间： | 2019/2/6 0:00:00 |
| 修稿时间： | 2019/3/30 0:00:00 |
Reliability Evaluation Method for the Success or Failure Product in Small-subsample Circumstances |
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| ZHOU Fang,WANG Wei,CHEN Zhi-jun and ZHANG Tao.Reliability Evaluation Method for the Success or Failure Product in Small-subsample Circumstances[J].Equipment Environmental Engineering,2019,16(8):91-94. |
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| Authors: | ZHOU Fang WANG Wei CHEN Zhi-jun and ZHANG Tao |
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| Institution: | Beijing Institute of Structure and Environment Engineering, Beijing 100076, China,Beijing Institute of Structure and Environment Engineering, Beijing 100076, China,Beijing Institute of Structure and Environment Engineering, Beijing 100076, China and Beijing Institute of Structure and Environment Engineering, Beijing 100076, China |
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| Abstract: | This article introduced a reliability evaluation method for the success or failure product in small-subsample, which is based on the measure evaluation principle. The methods of goodness of fit tests, the consistency tests and the outliers identification on the data samples were used in proper sequence to complete reliability evaluation of product with verified experiment data of characteristic quantity. Finally the reliability evaluation was completed with instance data and assessment method. Additionally, the outliers must be identified and eliminated in the practice. The methods can be used for reliability evaluation for the success or failure product in small-subsample of clear characteristic quantity. |
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| Keywords: | small-subsample success or failure reliability evaluation method outliers |
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