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Research on Testability Evaluation method of Complex Equipment Based on Test Data in Development Phase

机译:基于开发阶段测试数据的复杂设备可测试性评价方法研究

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摘要

Due to the lack of valid testability evaluation methods for complex equipment in the final phase, a new testability evaluation method based on test data in development phase is proposed. The problems that classic statistic method can produce the conclusion with low confidence level and high risk under the condition of small sample are effectively solved. This method adopts mixed prior distribution and determines the inheritance factor by using chi-square goodness of fit between the history test information and the field information. Finally, the fault detection rate of certain large-scale radar equipment is validated. The analysis result of the practical case proves that this method can produce evaluation conclusion with high confidence level, and shows that this method is more rational than the classical statistical method and the traditional Bayes method.
机译:由于在最终阶段缺乏用于复杂设备的有效可测试性评估方法,提出了一种基于开发阶段测试数据的新的可测试性评估方法。经典统计方法可以产生低置信水平和小风险下的结论的问题,有效解决了小样本的条件。该方法采用混合的先前分布,并通过在历史测试信息和现场信息之间使用Chi-Square良好来确定继承因子。最后,验证了某些大规模雷达设备的故障检测率。实际情况的分析结果证明,该方法可以产生具有高置信水平的评估结论,并表明该方法比经典统计方法和传统的贝叶斯方法更合理。

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