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System Level Test Automation in UAV Development 无人机开发中的系统级测试自动化
Pub Date : 2018-09-01 DOI: 10.1109/AUTEST.2018.8532551
A. Yildirim, Edip Berker, M. E. Kayakesen
As the complexity of defense systems have increased in recent years; avionics and automated test systems have become more complex. Consequently, system engineering requirements demand robust requirement verification for the customer specifications and product quality. Traditional test system does not meet the demands like inconvenient data format, difficulty in test programs' reuse, inefficient use of available system resources, difficult error findings. The testing technology is growing continuously and rapidly. Frequently used automated test strategies are mainly based on software testing in software verification level. A software insensitive avionic system mostly comprises software modules at the unit level. When it comes to testing from subsystem to system level different circumstances emerge. System level testing has always been heavily dependent on human intervention and human judgment. Before emergence of system of systems concept most of the systems have their own boundaries for external interaction at human machine interface (HMI) level. Hence it has been natural that testing system functionality as a whole at HMI boundaries were carried out by human testers. However due to developments in software technologies and by approaching to automated system level testing problem as a collection of many self-containing diverse sub-problems; it can be seen that software industry has already created lots of tools to address each of these sub-problems without even aiming to solve them for automated system test approach. In this paper automated UAV system test approach will be given by definition and analysis of each problem and solution addressing this problem. New automated testing model is presented to be functional on system level with a combination of hardware and software. The automated testing will handle the testing complexity with faster execution time, reduced testing costs, eliminating user errors and will also to increased probability of detecting failures. Test automation with both simulators and real devices is used for execution of the tests, and for the comparison of actual outcomes with predicted outcomes. This paper introduces a novel approach for test automation implementation for avionic system validation at system level in Unmanned Air Vehicle (UAV) development with different scenarios.
随着近年来国防系统复杂性的增加;航空电子设备和自动化测试系统变得更加复杂。因此,系统工程需求需要对客户规格和产品质量进行可靠的需求验证。传统的测试系统存在数据格式不方便、测试程序难以重用、现有系统资源利用效率低、错误发现困难等问题。检测技术在不断快速发展。常用的自动化测试策略主要是基于软件验证层的软件测试。软件不敏感型航空电子系统主要由单元级的软件模块组成。当涉及到从子系统到系统级别的测试时,会出现不同的情况。系统级测试一直严重依赖于人的干预和判断。在系统概念出现之前,大多数系统在人机界面(HMI)层面都有自己的外部交互边界。因此,很自然地,测试系统功能作为一个整体在人机界面的边界是由人类测试人员进行的。然而,由于软件技术的发展以及自动化系统级测试问题作为许多自包含的不同子问题的集合的接近;可以看出,软件行业已经创建了许多工具来解决这些子问题,甚至没有针对自动化系统测试方法来解决它们。本文通过对每个问题的定义和分析,给出了自动化无人机系统测试的方法和解决方案。提出了一种新的自动化测试模型,可以在系统级上实现硬件和软件的结合。自动化测试将以更快的执行时间、更低的测试成本、消除用户错误和增加检测故障的可能性来处理测试的复杂性。使用模拟器和真实设备的测试自动化用于执行测试,并用于将实际结果与预测结果进行比较。本文介绍了一种新的无人驾驶飞行器(UAV)开发中系统级航电系统验证测试自动化实现方法。
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引用次数: 0
Managing Factory Test Content under a Risk Management Framework 在风险管理框架下管理工厂测试内容
Pub Date : 2018-09-01 DOI: 10.1109/AUTEST.2018.8532543
Randal Bailey
In this paper the author discusses techniques for Managing Factory Test Content to achieve ‘lean’ test solutions when confronting compressed design schedules, product maturation risks, and high volume. The paper highlights common obstacles to leaner testing in the presence of these forces, reveals how design-centric testing often creeps into defense factories, and explains why it can be difficult to remove. The paper describes how to address this challenge by placing focus on the establishment of minimal and sufficient Core Testing at the beginning of the product development process. The approach then carves out a category of Supplemental Testing that is “recurring yet temporary” for the purpose of mitigating risks during early production phases.
在本文中,作者讨论了管理工厂测试内容的技术,以在面对压缩的设计进度、产品成熟风险和高容量时实现“精益”测试解决方案。这篇论文强调了在这些力量存在的情况下精益测试的常见障碍,揭示了以设计为中心的测试如何经常潜入国防工厂,并解释了为什么它很难消除。本文描述了如何通过在产品开发过程的开始建立最小和充分的核心测试来解决这一挑战。然后,该方法将“重复但暂时”的补充测试划分为一类,以减轻早期生产阶段的风险。
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引用次数: 1
A Novel Compressive Sampling Approach for Detecting Hard Defects in Complex Wire Networks 一种用于复杂钢丝网络中硬缺陷检测的压缩采样方法
Pub Date : 2018-09-01 DOI: 10.1109/AUTEST.2018.8532534
Tzila Ajamian, S. Moussaoui, A. Dupret
Reflectometry is a structural health monitoring technique that allows to efficiently detect and localize electrical defects in wire networks. The main challenge in reflectometry is to improve the precision of defect localization and characterization, especially in the case of complex networks. The solution is to increase the frequency of the injected signal since the spatial resolution is inversely proportional to the injected signal frequency. However, such solution applicability is limited by the sampling capabilities of existing Analog-to-Digital Converters (ADC). In this paper, we propose a sampling approach based on Compressive Sensing (CS) in the context of reflectometry. The resulting methodology offers the possibility to inject high frequency signals and later to reconstruct the reflected waveform from a lower set of samples than that required in the classical sampling scheme. In that respect, a complex linear chirp signal is considered as a testing signal and injected in a complex Y-branches network with a hard defect at the edges. In order to have a sparse representation, the reflected chirp signal is decomposed in the Fractional Fourier Transform (FrFT) domain. The main result is that the new acquisition scheme allows the detection of multiple reflection peaks caused by the defects at a sampling frequency 10 times lower than the actual sampling rate with a relative fault location error of 2%.
反射法是一种结构健康监测技术,可以有效地检测和定位电线网络中的电气缺陷。反射测量的主要挑战是提高缺陷定位和表征的精度,特别是在复杂网络的情况下。解决方法是增加注入信号的频率,因为空间分辨率与注入信号的频率成反比。然而,这种解决方案的适用性受到现有模数转换器(ADC)采样能力的限制。本文提出了一种基于压缩感知(CS)的反射测量采样方法。由此产生的方法提供了注入高频信号的可能性,然后从比经典采样方案所需的更低的采样集重建反射波形。在这方面,将一个复杂的线性啁啾信号作为测试信号,注入到一个边缘有硬缺陷的复杂y分支网络中。为了使反射啁啾信号具有稀疏表示,在分数阶傅里叶变换(FrFT)域中对其进行分解。主要结果是,新的采集方案可以在比实际采样率低10倍的采样频率下检测到由缺陷引起的多个反射峰,相对故障定位误差为2%。
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引用次数: 4
System Level Health and Environmental Monitoring for Automatic Test Equipment 自动测试设备的系统级健康和环境监测
Pub Date : 2018-09-01 DOI: 10.1109/AUTEST.2018.8532511
J. Orlet
Sensor technology has enabled seemingly unlimited ability to monitor temperature, humidity, air flow, power, voltage, current, etc. with small, inexpensive, and reliable devices. These devices are small enough to fit anywhere inside of just about every assembly/subassembly of a piece of Automatic Test Equipment (ATE). The question is what kind of measurements need to be made, where should they be located, and what benefit are they to the system and the operators? Like all engineering tasks, adding environmental monitoring sensors to ATE should be based on requirements, cost, and benefits. Operational requirements such as temperature, altitude, and humidity are the primary drivers. Next are operational interface requirements such as input power, shock, vibration, and Electromagnetic Interference (EMI)/ Electromagnetic Compatibility (EMC). Finally, reliability and maintainability (R&M) requirements are often overlooked in the selection and placement of environmental sensors. Just as important as the sensors themselves is finding a way to present the data in a logical fashion focused on creating an intuitive interface for the operators of the equipment as a part of comprehensive Health Monitoring approach at the system level. Too much data presented without consideration towards the operator could detract from the primary mission to repair and verify the Units Under Test (UUTs). The data must also be logged and stored in such a way to be able to understand and recreate scenarios to help track the environmental effects on the ATE over time. This paper discusses the design approach taken to evaluate system level requirements to determine the overall environmental monitor architecture. It also discusses the cost and complexity trade-offs mandatory to ensure a focused operator experience without affecting system reliability and system maintainability requirements. Finally, the paper will discuss the overall system level benefits of the environmental and health monitoring schemes as they are employed on several ATE systems.
传感器技术使看似无限的能力,监测温度,湿度,气流,功率,电压,电流等小,便宜,可靠的设备。这些设备足够小,可以安装在自动测试设备(ATE)的每个组件/子组件内的任何地方。问题是需要进行什么样的测量,测量应该放在哪里,测量对系统和操作员有什么好处?像所有的工程任务一样,在ATE中添加环境监测传感器应该基于需求、成本和效益。温度、海拔和湿度等操作需求是主要驱动因素。其次是操作接口要求,如输入功率、冲击、振动和电磁干扰(EMI)/电磁兼容性(EMC)。最后,在环境传感器的选择和放置中,可靠性和可维护性(R&M)需求经常被忽视。与传感器本身同样重要的是,找到一种以逻辑方式呈现数据的方法,专注于为设备操作员创建一个直观的界面,作为系统级全面健康监测方法的一部分。在没有考虑操作人员的情况下提供过多的数据,可能会影响维修和验证待测单元(uut)的主要任务。数据还必须以这样一种方式记录和存储,以便能够理解和重新创建场景,以帮助跟踪随时间变化的环境对ATE的影响。本文讨论了用于评估系统级需求以确定整体环境监测体系结构的设计方法。它还讨论了成本和复杂性的权衡,以确保在不影响系统可靠性和系统可维护性要求的情况下,专注于操作人员的体验。最后,本文将讨论环境和健康监测方案在几个ATE系统上的总体系统级效益。
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引用次数: 0
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2018 IEEE AUTOTESTCON
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