eprintid: 13416
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/34/16
datestamp: 2023-11-10 03:27:58
lastmod: 2023-11-10 03:27:58
status_changed: 2023-11-10 01:51:07
type: article
metadata_visibility: show
creators_name: Ghosh, A.
creators_name: Ahmed, S.
creators_name: Khan, F.
creators_name: Rusli, R.
title: Process Safety Assessment Considering Multivariate Non-linear Dependence Among Process Variables
ispublished: pub
keywords: Bayesian networks; Process monitoring; Risk management; Safety engineering; Statistical mechanics; Stochastic models; Stochastic systems, Copula functions; Multivariate process; Nonlinear dependencies; On-line process monitoring; Process safety; Stochastic nature; Structural flexibilities; Time-dependent process, Complex networks
note: cited By 20
abstract: Nonlinear dependencies among highly correlated variables of a multifaceted process system pose significant challenges for process safety assessment. The copula function is a flexible statistical tool to capture complex dependencies and interactions among process variables in the causation of process faults. An integration of the copula function with the Bayesian network provides a framework to deal with such complex dependence. This study attempts to compare the performance of the copula-based Bayesian network with that of the traditional Bayesian network in predicting failure of a multivariate time dependent process system. Normal and abnormal process data from a small-scale pilot unit were collected to test and verify performances of failure models. Results from analysis of the collected data establish that the performance of copula-based Bayesian network is robust and superior to the performance of traditional Bayesian network. The structural flexibility, consideration of non-linear dependence among variables, uncertainty and stochastic nature of the process model provide the copula-based Bayesian network distinct advantages. This approach can be further tested and implemented as an online process monitoring and risk management tool. © 2019 Institution of Chemical Engineers
date: 2020
publisher: Institution of Chemical Engineers
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077430655&doi=10.1016%2fj.psep.2019.12.006&partnerID=40&md5=cee2482fe1be76a644a1297c81db3a96
id_number: 10.1016/j.psep.2019.12.006
full_text_status: none
publication: Process Safety and Environmental Protection
volume: 135
pagerange: 70-80
refereed: TRUE
issn: 09575820
citation:   Ghosh, A. and Ahmed, S. and Khan, F. and Rusli, R.  (2020) Process Safety Assessment Considering Multivariate Non-linear Dependence Among Process Variables.  Process Safety and Environmental Protection, 135.  pp. 70-80.  ISSN 09575820