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Physics-Based Prognostics for Optimizing Plant Operations

机译:基于物理的预测可优化工厂运营

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摘要

Scientists at Pacific Northwest National Laboratory (PNNL) have optimized energy plant operation using DSOM (Decision Support Operation and Maintenance) which 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 article covers the development and demonstration of a physics-based approach to prognostic analysis that combines distributed computing, radio frequency data links, measurement of aging precursor metrics and their correlation with degradation rate and projected machine failure.
机译:西北太平洋国家实验室(PNNL)的科学家使用DSOM(决策支持运营和维护)优化了能源工厂的运营,该部署已部署在多个地点。该方法已扩展为包括预测功能,并已在以核电厂设计为模型的中试规模供水系统上进行了测试。工厂优化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。本文介绍了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,射频数据链路,老化前体指标的测量以及它们与降级率和预计的机器故障的相关性。

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