吴和成,胡琳.基于AMSAA模型的成型产品可靠性综合评估方法研究[J].装备环境工程,2019,16(5):106-110. WU He-cheng,HU Lin.Comprehensive Evaluation Method of Molding Product Reliability Based on AMSAA Model[J].Equipment Environmental Engineering,2019,16(5):106-110.
基于AMSAA模型的成型产品可靠性综合评估方法研究
Comprehensive Evaluation Method of Molding Product Reliability Based on AMSAA Model
投稿时间:2018-04-29  修订日期:2019-05-25
DOI:10.7643/ issn.1672-9242.2019.05.021
中文关键词:  研制试验  AMSAA模型  时间环境折合系数  离散系数
英文关键词:development test  AMSAA model  time environment conversion coefficient  discrete coefficient
基金项目:
作者单位
吴和成 南京航空航天大学 经济与管理学院,南京 211106 
胡琳 南京航空航天大学 经济与管理学院,南京 211106 
AuthorInstitution
WU He-cheng School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China 
HU Lin School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China 
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中文摘要:
      目的 改进基于AMSAA模型成形产品的可靠性综合评估方法。方法 采用工程界普遍使用的AMSAA模型,利用同类或相似产品研制阶段试验的故障数据,基于综合利用均值和方差信息这一思路,提出一种通过对拟合优度检验统计量的离散系数进行寻优而确定时间环境折合系数的方法。结果 通过这一改进方法计算得到置信度为0.9时,产品成形时的MTBF(Mean Time Between Failure)单侧置信下限提高了17%,优于文献结果,且求得置信度分别为0.95和0.99时,产品成形时的MTBF单侧置信下限依然优于文献结果。结论 在不同的置信度下,该方法合理可行,符合工程实际。
英文摘要:
      Objective To improve the reliability evaluation method of molding products based on AMSAA model. Methods A method of determining the time environment conversion coefficient by optimizing the discrete coefficient of goodness of fit test statistics by using the AMSAA model commonly that used by the engineering community was proposed with same or similar product development stage test data based on the comprehensive utilization of mean and variance information. Results The result of this improved method showed that the lower confidence limit of MTBF (mean time between failures) was increased by 17% when the confidence degree was 0.9, which was superior to the result of literature. Moreover, when the confidence level was 0.95 and 0.99, the MTBF confidence level of the product was still better than that of the literature. Conclusion Therefore, at different confidence degree, the method is reasonable and feasible and it is also in line with the engineering practice.
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