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Calibration monitoring for sensor calibration interval extension: Identifying technical gaps

机译:传感器校准间隔扩展的校准监控:识别技术差距

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Currently in the United States, periodic sensor recalibration is required for all safety-related sensors, typically occurring at every refueling outage; and it has emerged as a critical path item for shortening outage duration in some plants. International application of calibration monitoring has shown that sensors may operate for longer periods within calibration tolerances. This issue is expected to also be important as the United States looks to the next generation of reactor designs (such as small modular reactors and advanced reactor concepts), given the anticipated longer refueling cycles, proposed advanced sensors, and digital instrumentation and control systems. Online monitoring (OLM) can be employed to identify those sensors that require calibration, allowing for calibration of only those sensors that need it. The U.S. Nuclear Regulatory Commission (NRC) accepted the general concept of OLM for sensor calibration monitoring in 2000, but no U.S. plants have been granted the necessary license amendment to apply it. This paper summarizes a recent state-of-the-art assessment of online calibration monitoring in the nuclear power industry, including sensors, calibration practice, and OLM algorithms. This assessment identifies key research needs and gaps that prohibit integration of the NRC-approved online calibration monitoring system in the U.S. nuclear power industry. Several technical needs were identified, including an understanding of the impacts of sensor degradation on measurements for both conventional and emerging sensors; the quantification of uncertainty in online calibration assessment; determination of calibration acceptance criteria and quantification of the effect of acceptance criteria variability on system performance; and assessment of the feasibility of using virtual sensor estimates to replace identified faulty sensors in order to extend operation to the next convenient maintenance opportunity.
机译:目前在美国,所有安全相关传感器都需要定期传感器重新校准,通常在每次加油中停用发生;它已成为缩短一些植物中停用持续时间的关键路径项目。国际校准监测的应用表明,传感器可以在校准公差内进行更长的时间。鉴于预期的更长的加油循环,提出的先进传感器和数字仪表和控制系统,预计该问题预计也是重要的,因为美国展望了下一代反应堆设计(如小型模块化反应器和先进的反应堆概念)。可以采用在线监测(OLM)来识别需要校准的传感器,允许仅校准需要它的那些传感器。美国核监管委员会(NRC)接受了2000年对传感器校准监测OLM的一般概念,但没有美国工厂已获得必要的许可证修正案来申请。本文总结了最近对核电行业的在线校准监测的最新评估,包括传感器,校准实践和OLM算法。该评估确定了关键的研究需求和禁止在美国核电工业中纳入NRC批准的在线校准监测系统的关键研究需求和差距。确定了几种技术需求,包括了解传感器劣化对传统和新兴传感器的测量的影响;在线校准评估中的不确定性的量化;确定校准验收标准和定量验收标准变异性对系统性能的影响;并评估使用虚拟传感器估计来更换识别的故障传感器的可行性,以便将操作扩展到下一个方便的维护机会。

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