This paper presents a visualisation approach of socio-technical system design evaluation based on human reliability. Bayesian Belief networks are used to assess human error and system failure (Sutcliffe et al. 1999) based on a variety of high-level operational scenarios. The System Reliability Analyser tool automates the process by iteratively manipulating the BBN model, presenting the analyst with a three-level visualisation of the results to diagnose the locus of reliability problems. A case study is presented on the evaluation of two alternative designs of the command and control room of an offshore patrol vessel
This paper presents an extension of Bayesian networks (BN) applied to reliability analysis. We devel...
Abstract: To meet the availability target and reduce system downtime, effective maintenance have a ...
In this paper, a model for failure analysis using the theory of Bayesian Belief Networks (BBN), will...
This paper presents a visualisation approach of socio‐technical system design evaluation based on hu...
This paper presents a Bayesian belief network (BBN) approach for socio technical system reliability ...
This paper describes a validation approach of a socio-technical design support system using data min...
Airplanes, ships, nuclear power plants and chemical production plants (including oil & gas facilitie...
Bayesian belief nets (BBNs) provide an effective way of reasoning under uncertainty. They have a fir...
This paper presents a methodology for quantifying the effect of harsh environmental conditions on th...
The objective of this paper is to present work on how a Bayesian Belief Network for a software safet...
Marine engineering operations rely substantially on high degrees of automation and supervisory contr...
Modelling the interdependencies among the factors influencing human error (e.g. the common performan...
The article presents a data analysis and processing for tuning artificial neural network (ANN) of th...
In recent years, the management of risk has developed towards a risk based approach. Thus, industrie...
This article presents a Bayesian network model for human reliability assessment (HRA). In most exist...
This paper presents an extension of Bayesian networks (BN) applied to reliability analysis. We devel...
Abstract: To meet the availability target and reduce system downtime, effective maintenance have a ...
In this paper, a model for failure analysis using the theory of Bayesian Belief Networks (BBN), will...
This paper presents a visualisation approach of socio‐technical system design evaluation based on hu...
This paper presents a Bayesian belief network (BBN) approach for socio technical system reliability ...
This paper describes a validation approach of a socio-technical design support system using data min...
Airplanes, ships, nuclear power plants and chemical production plants (including oil & gas facilitie...
Bayesian belief nets (BBNs) provide an effective way of reasoning under uncertainty. They have a fir...
This paper presents a methodology for quantifying the effect of harsh environmental conditions on th...
The objective of this paper is to present work on how a Bayesian Belief Network for a software safet...
Marine engineering operations rely substantially on high degrees of automation and supervisory contr...
Modelling the interdependencies among the factors influencing human error (e.g. the common performan...
The article presents a data analysis and processing for tuning artificial neural network (ANN) of th...
In recent years, the management of risk has developed towards a risk based approach. Thus, industrie...
This article presents a Bayesian network model for human reliability assessment (HRA). In most exist...
This paper presents an extension of Bayesian networks (BN) applied to reliability analysis. We devel...
Abstract: To meet the availability target and reduce system downtime, effective maintenance have a ...
In this paper, a model for failure analysis using the theory of Bayesian Belief Networks (BBN), will...