当前位置: X-MOL 学术Math. Probl. Eng. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Parameter Estimation and Applications of the Weibull Distribution for Strength Data of Glass Fiber
Mathematical Problems in Engineering ( IF 1.430 ) Pub Date : 2021-09-22 , DOI: 10.1155/2021/9175170
Yuxuan Wu 1 , Hanyang Xie 1 , Jyun-You Chiang 1 , Gang Peng 1 , Yan Qin 2
Affiliation  

Glass fiber is a good substitute for metal materials. However, in the process of manufacturing, it is necessary to carry out sampling inspection on its tensile strength to infer its quality. According to previous literatures, the strength data can be well fitted by the Weibull distribution, while the poor parameter estimation method cannot obtain reliable analysis results. Therefore, a new parameter estimation method is proposed. Based on the simulation results, it is found that the proposed parameter estimation method outperforms the other competitors to obtain reliable estimates of the Weibull parameters. Finally, the proposed parameter estimation method is applied to two real data sets of glass fiber strength for illustration. The results of data analysis show that our proposed parameter estimation method is more suitable for these data sets than other estimation methods.

中文翻译:

玻璃纤维强度数据威布尔分布的参数估计及应用

玻璃纤维是金属材料的良好替代品。但在制造过程中,需要对其抗拉强度进行抽样检验,以推断其质量。根据以往文献,强度数据可以很好地拟合威布尔分布,而较差的参数估计方法无法获得可靠的分析结果。因此,提出了一种新的参数估计方法。基于仿真结果,发现所提出的参数估计方法优于其他竞争对手,以获得可靠的威布尔参数估计。最后,将所提出的参数估计方法应用于玻璃纤维强度的两个真实数据集进行说明。
更新日期:2021-09-22
down
wechat
bug