一种基于证据理论的工业报警器设计方法

该文给出了一种基于证据理论的模糊阈值的报警器设计方法.设计模糊隶属度函数形式的模糊阈值,并将过程变量在线监测数据超过该阈值的程度转化为报警证据,利用证据更新规则融合多个时刻的报警证据,最终得出报警结果.与传统的基于绝对阈值的数据滤波方法相比,新方法可以显著降低误报率和漏报率,最后通过仿真算例说明了所提方法的有效性.

A Designing Method of Industrial Alarm Based on Evidence Theory

This paper proposes a ＂soft thresholds＂ alarm designing method based on evidence theory.Firstly the ＂soft thresholds＂ are designed in the form of fuzzy membership functions,and then the alarm evidence can be obtained by matching between on-line monitoring data of process variables and soft thresholds.Next,the updating rules of evidence are used to fuse alarm evidence at continuous time so as to get global alarm result.Compared with the traditional data filtering method based on ＂hard threshold＂,the new method can significantly reduce the false alarm rate and missed alarm rate.A simulation example illustrates the effectiveness of the proposed method at the end of this paper.