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Risk-based warning system design methodology for multimode processes


Wang, H and Khan, FI and Ahmed, S and Imtiaz, S, Risk-based warning system design methodology for multimode processes, Proceedings of the 9th IFAC Symposium on Advanced Control of Chemical Processes, ADCHEM 2015, 7-10 June 2015, Whistler, Canada, pp. 663-668. ISSN 2405-8963 (2015) [Refereed Conference Paper]

Copyright Statement

Copyright 2015 IFAC

DOI: doi:10.1016/j.ifacol.2015.09.044


Complex chemical processes usually operate at multiple operating modes, resulting from various factors, such as changes in market demand, set point modifications, and feedstock changes. It is difficult to monitor a multimode process without generating significant number of false alarms. In this paper, a risk-based alarm system design methodology is proposed to monitor multimode processes. The methodology comprises of three main steps: i) analysis of operating data using Gaussian mixture model, ii) identification of independent operating modes (e.g. set points, virtual transient state), and iii) probabilistic model to assess risk and activation of appropriate warning. A continuous stirred tank reactor with model predictive control system is used to demonstrate the effectiveness of the proposed method.

Item Details

Item Type:Refereed Conference Paper
Keywords:alarm management, Gaussian mixture model, multimode process, probability graphical model, warning system design, activation analysis, alarm systems, chemical modification, Gaussian distribution, model predictive control, predictive control systems
Research Division:Engineering
Research Group:Engineering practice and education
Research Field:Risk engineering
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in engineering
UTAS Author:Khan, FI (Professor Faisal Khan)
ID Code:120550
Year Published:2015
Web of Science® Times Cited:2
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2017-08-28
Last Modified:2017-10-17

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