Arpaia P, Girone M, Liccardo A, Pezzetti M, Piccinelli F
Department of Electrical Engineering and Information Technology, University of Napoli Federico II, Naples, Italy.
Technology Department, European Organization for Nuclear Research (CERN), Geneva, Switzerland.
Rev Sci Instrum. 2015 Dec;86(12):125001. doi: 10.1063/1.4936355.
The metrological performance of a virtual flowmeter-based transducer for monitoring helium under cryogenic conditions is assessed. At this aim, an uncertainty model of the transducer, mainly based on a valve model, exploiting finite-element approach, and a virtual flowmeter model, based on the Sereg-Schlumberger method, are presented. The models are validated experimentally on a case study for helium monitoring in cryogenic systems at the European Organization for Nuclear Research (CERN). The impact of uncertainty sources on the transducer metrological performance is assessed by a sensitivity analysis, based on statistical experiment design and analysis of variance. In this way, the uncertainty sources most influencing metrological performance of the transducer are singled out over the input range as a whole, at varying operating and setting conditions. This analysis turns out to be important for CERN cryogenics operation because the metrological design of the transducer is validated, and its components and working conditions with critical specifications for future improvements are identified.
评估了一种用于在低温条件下监测氦气的基于虚拟流量计的传感器的计量性能。为此,提出了该传感器的不确定度模型,主要基于利用有限元方法的阀门模型和基于塞雷格 - 施伦贝格尔方法的虚拟流量计模型。这些模型在欧洲核子研究组织(CERN)低温系统中氦气监测的案例研究上进行了实验验证。基于统计实验设计和方差分析的灵敏度分析评估了不确定度来源对传感器计量性能的影响。通过这种方式,在整个输入范围内,在不同的运行和设置条件下,找出了对传感器计量性能影响最大的不确定度来源。该分析对于CERN低温运行很重要,因为传感器的计量设计得到了验证,并且确定了其具有关键规格以供未来改进的组件和工作条件。