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Quantitative Evaluation of Fault coverage for Digitalized Systems in NPPs using Simulated Fault Injection Method

机译:利用模拟故障注射方法定量评估NPP中NPP中的数字化系统故障覆盖

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In this study, fault detection coverage for a digital system is evaluated using a simulated fault injection method. The target system is a Local Coincidence Logic (LCL) processor in a Digital Plant Protection System (DPPS). However, as it is difficult to simulate the actual LCL processor for evaluating fault detection coverage, the LCL processor has to be simplified. Some assumptions are needed to evaluate the fault detection coverage. Among them, one of the most important assumptions is that the fault detection coverage of components is independent to each other. In order to detect faults, a fault detection mechanism is developed. In the experiments, heartbeat signals are emitted at regular intervals after executing logic without a self-checking algorithm. When faults are injected into the simplified LCL system, fault occurrence can be detected by checking whether the heartbeat signals are emitted from the simplified LCL system or not. As a result of simulations, more than 44% of all faults could be detected without a self-checking algorithm. In a different test with a self-checking algorithm, the fault detection coverage of PROM was increased.
机译:在该研究中,使用模拟故障注入方法评估数字系统的故障检测覆盖。目标系统是数字植物保护系统(DPP)中的局部重合逻辑(LCL)处理器。然而,由于难以模拟实际的LCL处理器来评估故障检测覆盖,因此必须简化LCL处理器。需要一些假设来评估故障检测覆盖范围。其中,最重要的假设之一是组件的故障检测覆盖彼此独立。为了检测故障,开发了故障检测机制。在实验中,在没有自检算法的情况下执行逻辑后,以规则的间隔发射心跳信号。当故障注入简化的LCL系统时,可以通过检查从简化的LCL系统中是否发出心跳信号来检测故障发生。由于仿真,没有自检算法,可以检测到所有故障的超过44%。在具有自检算法的不同测试中,PROM的故障检测覆盖率增加。

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