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Accelerated Reliability Demonstration Methods Based on Three-Parameter Weibull Distribution

机译:基于三参数Weibull分布的加速可靠性演示方法

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Life testing or test-to-failure method and binomial testing method are the two most commonly used methods in product validation and reliability demonstration. The two-parameter Weibull distribution function is often used in the life testing and almost exclusively used in the extended time testing, which can be considered as an accelerated testing method by appropriately extending the testing time but with significantly reduced testing samples. However, the fatigue data from a wide variety of sources indicate that the three-parameter Weibull distribution function with a threshold parameter at the left tail is more appropriate for fatigue life data with large sample sizes. The uncertainties introduced from the assumptions about the underlying probabilistic distribution would significantly affect the interpretation of the test data and the assessment of the performance of the accelerated binomial testing methods, therefore, the selection of a probabilistic model is critically important. In this paper, several new accelerated testing procedures including the extended time testing and increased load/stress testing based on the three-parameter Weibull distribution are investigated. The corresponding formulae of the accelerated testing are also provided and comparisons are made between the two- and three- Weibull functions through several worked examples. Finally, the potential impact of this research on product validation and reliability demonstration are indicated and some recommendations are provided.
机译:生命测试或测试到失败方法和二项式测试方法是产品验证和可靠性示范中最常用的两种方法。双参数Weibull分布函数通常用于寿命测试,并且在扩展时间测试中几乎完全使用,这可以通过适当地扩展测试时间但是通过显着降低的测试样本来被视为加速测试方法。然而,来自各种源的疲劳数据表明,具有左尾部的阈值参数的三参数Weibull分布函数更适合具有大样本尺寸的疲劳寿命数据。从关于潜在的概率分布的假设引入的不确定性会显着影响测试数据的解释和对加速二项式测试方法的性能的评估,因此,概率模型的选择是至关重要的。在本文中,研究了几种新加速测试程序,包括基于三参数Weibull分布的延长时间测试和增加的负载/应力测试。还提供了加速测试的相应公式,并且通过若干工作示例在两者和三维函数之间进行比较。最后,指出了这项研究对产品验证和可靠性示范的潜在影响,并提供了一些建议。

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