<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Process Safety Assessment Considering Multivariate Non-linear Dependence Among Process Variables"^^ . "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"^^ . "2020" . . "135" . . "Institution of Chemical Engineers"^^ . . . "Process Safety and Environmental Protection"^^ . . . "09575820" . . . . . . . . . . . . . . . . "R."^^ . "Rusli"^^ . "R. Rusli"^^ . . "F."^^ . "Khan"^^ . "F. Khan"^^ . . "S."^^ . "Ahmed"^^ . "S. Ahmed"^^ . . "A."^^ . "Ghosh"^^ . "A. Ghosh"^^ . . . . . "HTML Summary of #13416 \n\nProcess Safety Assessment Considering Multivariate Non-linear Dependence Among Process Variables\n\n" . "text/html" . .