US-Brazil Cooperative Research: Monitoring and Diagnosis of Process System Components

Upadhyaya 99 - 01201这个美国-巴西奖项支持Belee R. Upadhyaya，田纳西大学，诺克斯维尔和博士丹尼尔K。S. Ting，Instituto de Pesquisas Energeticas e Nucleares（IPEN），San Paulo，Brazil.他们将进行一项为期两年的研究，对过程系统组件的监测和诊断。本研究的主要目标是开发新的在线监测和故障检测方法，以提高大型工业系统的运行安全性，可靠性和经济效益。拟议的工作是相辅相成的。 美国PI将可以使用两个国际消除持久性有机污染物网络研究反应堆和一个全尺寸热工水力实验室。获得IPEN数据和了解与工厂老化和寿命延长相关的问题不仅有利于PI，而且对美国工业利益具有普遍的应用价值。巴西将受益于田纳西大学为在国际消除持久性有机污染物网络进行测试而开发的基于个人计算机的信号处理和应用人工智能模块。巴西的商业核电站是这项技术的最终接收者。

Upadhyaya 99-01201This US-Brazil award supports collaborative research between Dr. Belee R. Upadhyaya, University of Tennessee, Knoxville and Dr. Daniel K. S. Ting, Instituto de Pesquisas Energeticas e Nucleares (IPEN), San Paulo, Brazil. They will conduct a two-year research study on monitoring and diagnosis of process system components. The principal goal of this research is to develop new on-line monitoring and fault detection methods to improve the operational safety, reliability, and economic gains of large industrial systems. The proposed work is complementary. The US PI will have access to two IPEN research reactors and a full scale thermal-hydraulic laboratory. Access to IPEN data and an understanding of issues relative to plant aging and life extension will benefit not only the PI but has application s to US industrial interests in general. Brazil will benefit from PC based signal processing and applied artificial intelligence modules to be developed by the University of Tennessee for testing at IPEN. The Brazilian commercial nuclear power plants are the ultimate receives of this technology.***