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首页> 外文期刊>The ITEA Journal >Model-Based Systems and Test Engineering Using System Mission-Oriented Design-of-Experiment Approach
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Model-Based Systems and Test Engineering Using System Mission-Oriented Design-of-Experiment Approach

机译：基于模型的系统和测试工程，使用系统定向设计的实验方法

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摘要

During requirement-based performance verification tests of the elements of a system, it is difficult for the Test & Evaluation (T&E) community to objectively support Model-Based Systems Engineering's (MBSE's) identification and assessment of integrated system-level capability. It is a challenge for T&E to deliver the desired system mission-representative element performance data, that are with respect to the entire system's intended operational environment, because element functions are traditionally verified only under their allocated requirements' specified measurement conditions. The proposed mission-oriented Design-of-Experiment (DoE) test approach remedies this difficulty through the employment of DoE and Response Surface Methodology (RSM) analytical techniques. This test approach characterizes all the element performances as respective regression-model predicted variables that are directly influenced by changing conditions throughout the system operational environment; thus, it delivers what are now normalized and system mission-relevant element performance and verification data to support MBSE. Once these element performance regression models are utilized by MBSE as their respective low-level model inputs, the integrated system capability can be objectively identified and assessed via their aggregate and coherent simulation.
机译：在基于需求的系统性能验证测试期间，测试和评估（T＆E）群体难以客观地支持基于模型的系统工程（MBSE）识别和综合系统级能力的评估。对于T＆E提供所需的系统特派团代表性元素性能数据是一个挑战，即关于整个系统的预期操作环境，因为传统上仅在其分配的要求指定的测量条件下验证了元素函数。通过就业DOE和响应面方法（RSM）分析技术，拟议的任务导向设计实验（DOE）测试方法补救了这种困难。该测试方法表征了作为各个回归模型预测变量的所有元素性能，这些变量直接受到整个系统运行环境的变化条件的影响;因此，它提供了现在标准化和系统任务相关元素性能和验证数据以支持MBSE。一旦MBSE利用了这些元素性能回归模型作为它们各自的低级模型输入，可以通过它们的聚合和相干模拟客观地识别和评估集成系统能力。

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