Correlation analysis of alarm data and alarm limit design for industrial processes
Correlation analysis of alarm data and alarm limit design for industrial processes
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DOI：
10.1109/acc.2010.5530508
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发表时间：
2010-07
期刊：
影响因子：
--
通讯作者：
Fan Yang;Sirish L. Shah;D. Xiao
中科院分区：
文献类型：
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作者：
Fan Yang;Sirish L. Shah;D. Xiao
警报合理化的目的是检查警报是否针对上限和下限进行了正确设置，并确保不会遗漏关键警报，并确保尽可能少的错误警报。本文介绍了一种基于物理过程变量与其报警历史的关联图的相似性，并结合过程连通性信息通过因果图来建议最佳报警设置的过程。相关分析过程清楚地考虑到该过程的多变量性质，从而减少了误报和漏报的数量。
The object of alarm rationalization is to check if alarms are set correctly with respect to high and low limits and also to ensure that critical alarms are not missed and that there are as few false alarms as possible. This paper outlines a procedure based on the similarity of correlation maps of physical process variables and their alarm history in combination with process connectivity information through causal maps to suggest optimal alarm settings. The process of correlation analysis clearly takes into account the multivariate nature of the process and thereby reduces the number of false and missed alarms.