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Design of scenario-based early warning system for process operations

journal contribution
posted on 2023-05-19, 10:28 authored by Wang, H, Faisal KhanFaisal Khan, Ahmed, S
Alarm flooding is a significant problem in the process industries. To solve this problem, a scenario-based early warning system design methodology is proposed. It comprises three steps: (i) scenario identification: events are identified by HAZOP analysis, variables are allocated to the scenario-based group, and the variables states correlated to the scenarios are identified; (ii) model development: Bayesian network of all variables is learned from the process data, and the events nodes are appended according to expert knowledge to construct the Bayesian network model of a scenario-based early warning system; (iii) model implementation: the model is applied online to monitor process, the monitored variables continuously produce evidence, update the events probabilities, find the root causes, and give an events warning message together with the root cause to operators. The methodology implementation and salient points are explained with the help of an easy to follow simple case study.

History

Publication title

Industrial and Engineering Chemistry Research

Volume

54

Issue

33

Pagination

8255-8265

ISSN

0888-5885

Department/School

Australian Maritime College

Publisher

American Chemical Society

Place of publication

USA

Rights statement

Copyright 2015 American Chemical Society

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in engineering