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Design of scenario-based early warning system for process operations
Citation
Wang, H and Khan, FI and Ahmed, S, Design of scenario-based early warning system for process operations, Industrial and Engineering Chemistry Research, 54, (33) pp. 8255-8265. ISSN 0888-5885 (2015) [Refereed Article]
Copyright Statement
Copyright 2015 American Chemical Society
DOI: doi:10.1021/acs.iecr.5b02481
Abstract
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.
Item Details
Item Type: | Refereed Article |
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Keywords: | Bayesian networks, Bayesian network models, early Warning System, model development, model implementation, process industries, process operation, scenario identifications, warning messages, computer aided network analysis |
Research Division: | Engineering |
Research Group: | Interdisciplinary Engineering |
Research Field: | Risk Engineering (excl. Earthquake Engineering) |
Objective Division: | Expanding Knowledge |
Objective Group: | Expanding Knowledge |
Objective Field: | Expanding Knowledge in Engineering |
Author: | Khan, FI (Professor Faisal Khan) |
ID Code: | 120539 |
Year Published: | 2015 |
Web of Science® Times Cited: | 4 |
Deposited By: | NC Maritime Engineering and Hydrodynamics |
Deposited On: | 2017-08-28 |
Last Modified: | 2017-11-06 |
Downloads: | 0 |
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