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
Maritime Autonomous Surface Ships have received a significant amount of attention in recent projects...
Survivability is the ability of a naval vessel to survive a combat incident by avoiding (susceptibil...
This paper presents the development of the Machinery Risk Analysis (MRA) methodology for different s...
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 ...
Airplanes, ships, nuclear power plants and chemical production plants (including oil & gas facilitie...
This paper describes a validation approach of a socio-technical design support system using data min...
This paper presents a methodology for quantifying the effect of harsh environmental conditions on th...
Bayesian belief nets (BBNs) provide an effective way of reasoning under uncertainty. They have a fir...
ESREL 2016 - Risk, Reliability and Safety: Innovating Theory and Practice, GLASGOW, ROYAUME-UNI, 25-...
Marine engineering operations rely substantially on high degrees of automation and supervisory contr...
The main objective of this paper is to make use of the Bayesian Belief Network (BBN) method for anal...
The objective of this paper is to present work on how a Bayesian Belief Network for a software safet...
The proposed research, through INCASS (Inspection Capabilities for Enhanced Ship Safety) FP7 EU fund...
The article presents a data analysis and processing for tuning artificial neural network (ANN) of th...
Maritime Autonomous Surface Ships have received a significant amount of attention in recent projects...
Survivability is the ability of a naval vessel to survive a combat incident by avoiding (susceptibil...
This paper presents the development of the Machinery Risk Analysis (MRA) methodology for different s...
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 ...
Airplanes, ships, nuclear power plants and chemical production plants (including oil & gas facilitie...
This paper describes a validation approach of a socio-technical design support system using data min...
This paper presents a methodology for quantifying the effect of harsh environmental conditions on th...
Bayesian belief nets (BBNs) provide an effective way of reasoning under uncertainty. They have a fir...
ESREL 2016 - Risk, Reliability and Safety: Innovating Theory and Practice, GLASGOW, ROYAUME-UNI, 25-...
Marine engineering operations rely substantially on high degrees of automation and supervisory contr...
The main objective of this paper is to make use of the Bayesian Belief Network (BBN) method for anal...
The objective of this paper is to present work on how a Bayesian Belief Network for a software safet...
The proposed research, through INCASS (Inspection Capabilities for Enhanced Ship Safety) FP7 EU fund...
The article presents a data analysis and processing for tuning artificial neural network (ANN) of th...
Maritime Autonomous Surface Ships have received a significant amount of attention in recent projects...
Survivability is the ability of a naval vessel to survive a combat incident by avoiding (susceptibil...
This paper presents the development of the Machinery Risk Analysis (MRA) methodology for different s...