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首页> 外文会议>Society for Machinery Failure Prevention Technology Meeting; 20050418-21; Virginia Beach,VA(US) >PHYSICS-BASED PROGNOSTICS FOR OPTIMIZING PLANT OPERATION
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PHYSICS-BASED PROGNOSTICS FOR OPTIMIZING PLANT OPERATION

机译：基于物理学的优化植物运行的预测

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摘要

Scientists at the Pacific Northwest National Laboratory (PNNL) have examined the necessity for optimization of energy plant operation using "DSOM~(®c)"-Decision Support Operation and Maintenance and this has been deployed at several sites. This approach has been expanded to include a prognostics component and tested on a pilot scale service water system, modeled, on the design employed in a nuclear power plant. A key element in plant optimization is understanding and controlling the aging process of safety-specific nuclear plant components. This paper reports the development and demonstration of a physics-based approach to prognostic analysis that combines distributed computing, RF data links, the measurement of aging precursor metrics and their correlation with degradation rate and projected machine failure.
机译：太平洋西北国家实验室（PNNL）的科学家研究了使用“ DSOM〜（c）”决策支持运行和维护来优化能源工厂运行的必要性，并且已在多个站点进行了部署。该方法已扩展为包括预测功能，并在中试规模的自来水系统上进行了测试，该系统已按照核电厂所采用的设计进行了建模。优化工厂的关键要素是了解和控制安全专用核电站部件的老化过程。本文报告了一种基于物理的预后分析方法的开发和演示，该方法结合了分布式计算，RF数据链接，老化前体指标的测量及其与退化率和预计的机器故障的相关性。

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