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Achieving Dramatic Increases in TE Effectiveness and Efficiency Leveraging Dynamic and Flexible MS Tools

机译:实现T&E有效性和效率的戏剧性增加,利用动态和灵活的M&S工具

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Much focus has been brought in recent years to the use of statistical methods to "right-size" overall test plan design using design-of-experiments, combinatorial techniques and other rigorous scientific methods. In 2012 a Scientific Test and Analysis Techniques (STAT) Center of Excellence (COE) was initiated to assist programs in developing rigorous and defendable test plans using state-of-the-art methods. These initiatives are meant to produce smarter overall test plans embodied in a given program as well as to produce smarter test plan loading and scheduling in individual test plan blocks. Less attention has been given to the use of smarter methods in the test execution phase for optimum test-card mission design to increase test-point density and to ensure execution effectiveness to reduce re-flight rates. Modern advances in computer simulation have resulted in tools which enable flexible and interactive virtual environments that can be used to rapidly prototype route designs. Sets of candidate test-point combinations in the assembly of test-cards can be virtually modeled to iteratively arrive at a test mission plan that is more efficient and more robustly designed than by more traditional methods. Here we will review the application of virtual methods of dynamic planning, execution, and post-flight quick-look that has proven able to increase test-point density and more often ensure test-point objectives achievement. Modeling application and iteration methods used to achieve more optimal test-flight designs will be discussed and contrasted with traditional contemporary methods. Final consideration and discussion will describe the overall areas of positive T&E execution phase impact including practitioners' operations efficiency, flight effectiveness & efficiency, post-flight quick-look and forensics analysis and flight safety.
机译:近年来,使用统计方法将统计方法带来了很多焦点,以使用实验设计,组合技术和其他严格的科学方法来使用统计方法“正确”整体测试计划设计。 2012年,一项科学检测和分析技术(统计)启动了卓越(COE),以协助采用最先进的方法开发严格和可辩护的测试计划。这些举措旨在产生在给定计划中体现的更智能的整体测试计划,并在各个测试计划块中产生更智能的测试计划加载和调度。在测试执行阶段使用更智能的方法,以获得最佳测试卡任务设计的注意力,以提高测试点密度,并确保执行效率以减少重新飞行率。计算机模拟中的现代进步导致了工具,可实现可用于快速原型路由设计的灵活和交互式虚拟环境。在测试卡的组装中候选测试点组合的组合可以实际上建模,以迭代地到达测试任务计划,这些计划比更多的传统方法更有效,更强大。在这里,我们将审查动态规划,执行和飞行后的虚拟方法的应用,这些方法已经证明能够提高测试点密度,更常常确保测试点目标成就。用于实现更多最佳测试飞行设计的建模应用和迭代方法将与传统的当代方法讨论和对比。最终的考虑和讨论将描述积极的T&E执行阶段影响的整体领域,包括从业者的运营效率,飞行效力和效率,飞行后的快速外观和取证分析和飞行安全。

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