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ELABORATION OF RELIABILITY DATA FOR AGING PSA

机译:用于老化PSA的可靠性数据

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The current standard PSA tools do not adequately address important aging issues. For example, the component and system reliability models are based on the "component constant failure rate" assumption. In case of equipment premature aging, inappropriate maintenance or expiration of specified lifetime, this assumption could not be valid anymore. Consequently, time dependent failure rate models could be applied. In Aging PSA, the time-depended reliability models could be applied for active and passive components, which are susceptible to aging and for which the aging mechanisms and stressors can cause component degradation. Also, the Aging PSA could explicitly model the effects of test and maintenance in controlling the aging of safety components. The difficulty of Aging PSA is that it requires more data and more extended models compared with the standard PSA. With regard to data, the basic issues were identified as following: elaborating of reliability models using available failure statistic and operating experience data, performing accelerated aging reliability tests in laboratory conditions in order to estimate the aging model parameters using experimental results. The development of these issues was proposed during APSA feasibility study and then justified by implementation of a pilot project. In particular, the statistical algorithms for time depended reliability models parameters estimation were developed and tested. These algorithms could be applied to treat the strong censored operational data. Regarding the accelerated aging reliability test, a detailed evaluation of aging mechanisms and theirs effects on the component availability were carried out for the selected risk important components. And then, the test program was elaborated. Currently IRSN is working on the reliability parameters elaboration using the operating experience data. The article presents the main lines of reliability data elaboration approach for Aging PSA of PWR French 900 MWe series.
机译:目前的标准PSA工具无法充分解决重要的老化问题。例如,组件和系统可靠性模型基于“分量常数故障率”假设。在设备过早老化的情况下,指定寿命的不适当维护或届满,此假设不再有效。因此,可以应用时间相关的故障率模型。在老化PSA中,时间依赖的可靠性模型可以应用于有源和无源部件,其易于老化,并且老化机构和压力源可引起组分降解。此外,老化PSA可以明确地模拟测试和维护在控制安全组分老化方面的影响。与标准PSA相比,老化PSA的难度是它需要更多的数据和更扩展模型。关于数据,基本问题被识别如下:使用可用的故障统计和操作体验数据阐述可靠性模型,在实验室条件下进行加速老化可靠性测试,以便使用实验结果来估算老化模型参数。在APSA可行性研究期间提出了这些问题的发展,然后通过实施试点项目。特别地,开发并测试了时间依赖于时间可靠性模型参数估计的统计算法。这些算法可以应用于处理强缩复的操作数据。关于加速的老化可靠性测试,对所选择的风险重要组成部分进行了对老化机制的详细评估及其对组分可用性的影响。然后,阐述了测试程序。目前,IRSN正在研究使用操作经验数据的可靠性参数阐述。本文介绍了PWR法国900 MWE系列老化PSA的可靠性数据阐述方法。

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