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首页> 外文期刊>Safety science >Reliability Data Update Method (RDUM) based on living PSA for emergency diesel generator of Daya Bay nuclear power plant
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Reliability Data Update Method (RDUM) based on living PSA for emergency diesel generator of Daya Bay nuclear power plant

机译：基于动态PSA的大亚湾核电站应急柴油发电机可靠性数据更新方法（RDUM）

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摘要

In the field of Living Probabilistic Safety Assessment (LPSA) the reliability data updating is an important factor. In risk analysis equipment failure data is needed to estimate the frequencies of events contributing to risk posed by a facility. Five years data of Emergency Diesel Generator (EDG) of Daya Bay Nuclear Power Plant (NPP) has been studied in this paper. The data updating process has been done by using two methods (i.e.) classical method and Bayesian method. The aim of using these methods is to calculate operational failure rate (λ) and demand failure probability (p). The results show that operational failure rate is 1.7E-3 per hour and demand failure probability is 2.4E-2 per day of Daya Bay NPP. By comparing the results obtain from classical and Bayesian method with EDF (Electric De France) it is concluded that the design and construction of Daya Bay NPP is very different with EDF so reliability parameters used in Daya Bay NPP is based on classical method.
机译：在生活概率安全评估（LPSA）领域，可靠性数据更新是一个重要因素。在风险分析中，需要设备故障数据来估计导致设施风险的事件发生频率。本文研究了大亚湾核电站（NPP）的应急柴油发电机（EDG）的五年数据。通过使用两种方法（即经典方法和贝叶斯方法）来完成数据更新过程。使用这些方法的目的是计算操作失败率（λ）和需求失败概率（p）。结果表明，大亚湾核电厂的运行故障率为每小时1.7E-3，需求故障概率为每天2.4E-2。通过将EDF（法国电力公司）从经典方法和贝叶斯方法获得的结果进行比较，可以得出结论，大亚湾核电厂的设计和建造与EDF有很大的不同，因此，大亚湾核电厂的可靠性参数是基于经典方法的。

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