威布尔最小二乘参数估计的权值逼近

Peter Ypma, R. Ross
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引用次数: 0

摘要

部件批次的失效行为通常以其统计分布为特征。对于许多失效过程,Weibu11-2分布是足够的。利用加权最小二乘法(WLS)对相关参数进行估计。这种方法需要计算权重,在电子表格和手机、平板电脑等轻计算设备中不方便实现。本文提出了一种准确估计这些权重的方法,即使使用标准的办公软件也可以方便地估计WLS参数。该过程将被内置到事件管理免费软件中,以便即使在较大的组件群中出现很少的故障后也能及时进行评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Approximation of Weight Numbers for Weibull Least Squares Parameter Estimation
The failure behavior of component batches is often characterized by its statistical distribution. For many failure processes the Weibu11-2 distribution is adequate. The relevant parameters can be estimated by the Weighted Least Squares (WLS) method. This method requires a calculation of weights that is inconvenient to implement in spreadsheets and light-calculating devices such as mobile phones and tablets. The present paper presents a procedure to accurately estimate these weights which enables convenient WLS parameter estimation even with standard office software. The procedure is to be built into Incident Management freeware for timely evaluation even after a very few failures within a larger component population.
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