Change Point Detection using the Kantorovich Distance Algorithm

被引：7
作者：
Arifin, B. M. S. [1 ]
Li, Zukui [1 ]
Shah, Sirish L. [1 ]
机构：
[1] Univ Alberta, Dept Chem & Mat Engn, Edmonton, AB T6G 2V4, Canada
来源：
IFAC PAPERSONLINE | 2018年 / 51卷 / 18期
关键词：
Change Detection; Transient Process; Kantorovich Distance; Linear Programming; CHEMICAL-PROCESS;
D O I：
10.1016/j.ifacol.2018.09.280
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this article, a novel change detection algorithm is proposed based on the Kantorovich distance concept. Incorporating the proposed change detection algorithm with the existing process monitoring tools may assist the operator in detecting dynamic changes in process plants and provide fewer unnecessary (false) alarms as well as fewer missed alarms. The proposed change detection method was tested through simulation data. It is applied to the benchmark Tennessee Eastman (TE) process in online mode. Results prove the efficacy of the proposed method to detect both the sharp and incipient changes. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：708 / 713
页数：6
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