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Online Built-In Self-Test Architecture for Automated Testing of a Solar Tracking Equipment

机译:在线内置自检体系结构,用于自动跟踪太阳能跟踪设备

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This paper presents an Online Built-In Self-Test (OBIST) architecture which is tailored towards the detection of hardware faults found in solar tracking systems. The goal of the proposed OBIST is two-folded: first, we identify the idle states of the electrical equipment that orients the payload of a dual-axis solar tracker to the maximum sun exposure with the support of an idle state detector which requires minimum hardware overhead; secondly, when the solar tracking device is in idle state, we disconnect its Circuits Under Test (CUTs) consisting of one Optocoupler, one Arduino UNO and two L298N motor drivers from the main data flow stream (initially connected directly to the solar panel) and attach the proposed OBIST equipment via dedicated switches in order to inject test vectors and collect their output signals in a signature-based response manner. The experimental results based on our hardware implementation and software simulation achieve an average of 93.93% coverage for single bit-flip errors (last 8 bits, mutant), 100% coverage for single stuck-at-faults (8, 12 and 16 random bits) as well as 96.96% for all targeted faults, showing that the proposed OBIST architecture is efficient with regard to test coverage and cost points of view.
机译:本文介绍了一种在线内置自测(OBIST)架构,该架构专门用于检测太阳能跟踪系统中发现的硬件故障。拟议的OBIST的目标有两个:首先,我们确定电气设备的空闲状态,该电气设备在需要最少硬件的空闲状态检测器的支持下,将双轴太阳能跟踪器的有效载荷定向到最大的阳光照射下。高架;其次,当太阳能跟踪设备处于空闲状态时,我们从主数据流(最初直接连接到太阳能电池板)上断开由一个光电耦合器,一个Arduino UNO和两个L298N电机驱动器组成的被测电路(CUT),然后通过专用开关连接建议的OBIST设备,以便以基于签名的响应方式注入测试向量并收集其输出信号。基于我们的硬件实现和软件仿真的实验结果,单个翻转错误(最后8位,突变)的平均覆盖率达到93.93%,单个发生故障(8、12和16个随机位)的覆盖率达到100% )和96.96%的针对所有目标故障的数据,表明所提出的OBIST体系结构在测试覆盖率和成本角度方面是有效的。

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