U.S.-Hungary Cooperative Engineering Systems Research on Characterizing Dynamics of a Multivariate Process

美国-匈牙利合作工程系统研究多元过程动力学特征

• 批准号: 8913084
• 负责人: Thomas Kerlin
• 金额: $ 3.16万
• 依托单位: University of Tennessee Knoxville
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-09-15 至 1992-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8913084&HistoricalAwards=false
• 关键词: U.S.; Hungary; Cooperative; Engineering; Systems

The primary objective of this U.S.-Hungary cooperative research project between Dr. Thomas Kerlin and Dr. Janox Valko of the Central Research Institute for Physics, Budapest, is to draw upon long-term output data from several hundred instrument channels of a Hungarian Paks pressurized water reactor to determine baseline behavior of the power plant. The researchers intend to consider these data along with those of a reactor noise diagnostic system to further advance signal processing techniques useful in monitoring plant subsystems and detecting maloperation. The expected theoretical and implementable results of this collaboration should yield new information on: 1) behavior of reactor process signals; 2) cause of variations in plant signatures; 3) use of signal fluctuating components for instrument fault monitoring; and 4) use of non-invasive tests for component surveillance and preventive maintenance. This project in engineering systems fulfills the program objective of advancing scientific knowledge by enabling leading experts in the United States and Eastern Europe to combine complementary talents and pool research resources in areas of strong mutual interest and competence.

布达佩斯中央研究所托马斯·克林（Thomas Kerlin）博士与托马斯·克林（Thomas Kerlin）博士和贾克斯·维尔科（Janox Valko）博士之间的这项美国 - 匈牙利合作研究项目的主要目标是，布达佩斯（Budapest）的中央研究所（Budapest）借鉴了匈牙利PAKS加压水反应堆的数百个仪器通道的长期输出数据，以确定发电厂的基线行为。 研究人员打算考虑这些数据以及反应堆噪声诊断系统的数据，以进一步推进信号处理技术，可用于监测植物子系统和检测出现故障。 此协作的预期理论和可实施结果应产生有关：1）反应堆过程信号的行为； 2）植物特征的变化原因； 3）使用信号波动组件进行仪器故障监测； 4）使用非侵入性测试进行组件监视和预防性维护。 工程系统中的这个项目实现了计划的目标，即通过使美国和东欧的主要专家能够将互补才能和汇总研究资源结合到具有强大的共同兴趣和能力的领域中，从而提高了科学知识。