传感器校准间隔延长的校准监控:识别技术差距

J. Coble, P. Ramuhalli, R. Meyer, H. Hashemian, B. Shumaker, D. Cummins
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引用次数: 11

摘要

目前在美国,所有与安全相关的传感器都需要定期重新校准,通常在每次加油停运时进行;它已成为一些电厂缩短停运时间的关键路径项目。校准监测的国际应用表明,传感器可以在校准公差范围内工作更长时间。随着美国考虑下一代反应堆设计(如小型模块化反应堆和先进反应堆概念),考虑到预期的更长的换料周期,拟议的先进传感器,以及数字仪表和控制系统,这一问题预计也将变得重要。在线监测(OLM)可以用来识别那些需要校准的传感器,只允许校准那些需要校准的传感器。美国核管理委员会(NRC)在2000年接受了用于传感器校准监测的OLM的一般概念,但没有美国工厂获得必要的许可证修正案来应用它。本文总结了核电行业最新的在线校准监测评估,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差距,这些需求和差距禁止将nrc批准的在线校准监测系统集成到美国核电工业中。确定了几个技术需求,包括了解传感器退化对传统和新兴传感器测量的影响;在线校准评定中不确定度的量化确定校准验收准则,并量化验收准则可变性对系统性能的影响;并评估了利用虚拟传感器估算来替换已识别故障传感器的可行性,以延长运行时间,以便下一次方便的维护机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Calibration monitoring for sensor calibration interval extension: Identifying technical gaps
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.
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