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Application of condition-based HRA method for a manual actuation of the safety features in a nuclear power Plant

机译:基于条件的HRA方法在手动控制核电厂安全特征中的应用

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A practical approach to develop a more realistic fault-tree model with a consideration of various conditions endured by a human operator is proposed. In safety-critical systems, the generation failure of an actuation signal is caused by the concurrent failures of the automated systems and an operator action. These two sources of safety signals are complicatedly correlated. The failures of sensors or automated systems will cause a lack of necessary information for a human operator and result in error-forcing contexts such as the loss of corresponding alarms and indications. It is well known that the error-forcing contexts largely affect the operator's performance. An automated system which consists of multiple processing channels and complex components is also affected by the availability of the sensors. This paper proposes a condition-based human reliability assessment (CBHRA) method in order to address these complicated conditions in a practical way. We apply the CBHRA method to the manual actuation of the safety features such as a reactor trip and auxiliary feedwater actuation in Korean Standard Nuclear Power Plants. Even the human error probability of each given condition is simply assumed, the application results prove that the CBHRA effectively accommodates the complicated error-forcing contexts into the fault trees.
机译:提出了一种考虑人类操作员所承受的各种条件来开发更现实的故障树模型的实用方法。在安全关键型系统中,致动信号的生成故障是由自动化系统的同时故障和操作员操作引起的。安全信号的这两个来源复杂地相关。传感器或自动化系统的故障将导致操作人员缺少必要的信息,并导致出现强制错误的情况,例如丢失相应的警报和指示。众所周知,强制错误的上下文在很大程度上影响操作员的性能。由多个处理通道和复杂组件组成的自动化系统也会受到传感器可用性的影响。本文提出了一种基于条件的人类可靠性评估(CBHRA)方法,以实际方式解决这些复杂条件。我们将CBHRA方法应用于安全功能的手动启动,例如韩国标准核电站的反应堆行程和辅助给水启动。即使简单地假设每个给定条件的人为错误概率,应用结果也证明了CBHRA有效地将复杂的强制错误环境容纳到故障树中。

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