Change Point Detection using the Kantorovich Distance Algorithm. Issue 18 (2018)

• Record Type: Journal Article
• Authors: Arifin, B.M.S.; Li, Zukui; Shah, Sirish L.
• Is Part Of: IFAC-PapersOnLine. Volume 51:Issue 18(2018)
• Page Start: 708
• Page End: 713
• Publication Date: 2018
• Subjects: Change Detection -- Transient Process -- Kantorovich Distance -- Linear Programming; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2018.09.280
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: 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.