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A statistical degradation model for the service life prediction of aircraft coatings: With a comparison to an existing methodology

机译:用于飞机涂层使用寿命预测的统计退化模型:与现有方法的比较

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摘要

An advance on the model used by Guseva et al. [1] for estimating the service life of organic coatings under service conditions from accelerated test results has been developed. Instead of modelling just the times to failure, this new approach uses the complete degradation curve and allows for a more general specification of the failure time distribution. This modified model was then applied to the estimation of the service life (defined as gloss loss) for aircraft coatings and the results were compared to those obtained by Guseva et al. It was found that when this model was applied to the naturally weathered data, gloss loss (and thus failure times at a given level of gloss loss) followed a generalised gamma distribution, rather than the Weibull distribution identified by Guseva et al. Further, the new approach suggested a reduction in the warranty time of about one month. When the model was applied to the accelerated test data, it produced more accurate extrapolations of the median failure time associated with the naturally weathered data - (49.3 months compared to a measured 52 months obtained at the naturally weathered site). In fact, the extrapolated distribution obtained by this new approach was much closer to the distribution for the naturally weathered data than the extrapolated distribution obtained by Guseva et al.
机译:Guseva等人使用的模型的进展。 [1]已经开发了用于根据加速测试结果来估计有机涂层在使用条件下的使用寿命的方法。这种新方法不仅可以对故障时间进行建模,还可以使用完整的降级曲线,并可以对故障时间分布进行更一般的说明。然后将此修改后的模型应用于飞机涂层的使用寿命(定义为光泽损失)的估算,并将结果与​​Guseva等人获得的结果进行比较。已经发现,当将此模型应用于自然风化数据时,光泽度损失(以及在给定光泽度损失水平下的失效时间)遵循广义的伽马分布,而不是Guseva等人确定的Weibull分布。此外,新方法建议将保修时间减少大约一个月。将模型应用于加速测试数据后,它可以对与自然风化数据相关的平均失效时间进行更准确的推断-(49.3个月,而在自然风化站点获得的实测值为52个月)。实际上,与Guseva等人获得的外推分布相比,通过这种新方法获得的外推分布更接近自然风化数据的分布。

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