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HEIST: A Hardware Signal Fault Injection Methodology Enabling Feasible Software Robustness Testing

机译:赫斯特:硬件信号故障注入方法,从而实现可行的软件鲁棒性测试

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In this paper we investigate the use of FPGAs to inject faults into data streams as a supplement to the international EMC-test standards. We aim to test the robustness and reliability of software based measures against the effects of electromagnetic interference. The proposed methodology, HEIST, uses high-speed acquisition of faulty data and high-speed fault injection. HEIST requires less insight into electromagnetism and electronics compared to other iterative EMC qualification processes. This is particularly relevant in designs where a strategy of 100% hardware-based noise avoidance is not feasible, and software based noise handling has been implemented as a supplement. Such situations are typical in mobile light-weight systems such as drones, where shielding and hardware filters add undesirable weight. The methodology is verified by comparing data from a serial communication link that has been exposed to burst noise based on the IEC 61000-4-4 test standard with data from the same setup, but replacing the burst generator with the HEIST approach. The result shows an excellent correlation indicating that HEIST can replace the burst generator for a software EMC test in an ongoing software development process.
机译:在本文中,我们调查了FPGA的使用将故障注入数据流作为补充到国际EMC测试标准。我们的目标是测试基于软件措施对电磁干扰影响的鲁棒性和可靠性。拟议的方法,赫斯特,使用高速采集故障数据和高速故障注入。与其他迭代EMC资格流程相比,他倾向于对电磁和电子产品的洞察力较少。这在设计中特别相关,其中100%基于硬件的噪声避免是不可行的,并且基于软件的噪声处理已经实现为补充。这种情况在诸如无人机的移动轻型系统中典型,其中屏蔽和硬件过滤器增加了不希望的重量。通过将数据与来自来自相同设置的数据的测试标准进行了从串行通信链路比较了从串行通信链路进行串行通信链路进行验证的方法,但是使用来自相同设置的数据,但是用他的方法替换突发发生器。结果显示出优异的相关性,表明他可以在正在进行的软件开发过程中替换软件EMC测试的突发发生器。

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