This paper presents a Bayesian belief network (BBN) approach for socio technical system reliability assessment. A human error model (BBN) quantifies error influences arising from user knowledge, ability and task environment, combined with factors describing the complexity of user action and user interface quality. System reliability evaluation is achieved by the Scenario Reliability analyser tool, which enables the iterative manipulation of the human error model according to high-level scenarios
Success Likelihood Index Model (SLIM) is one of the widely-used deterministic techniques in human re...
As the instrumentation and control (I&C) systems in nuclear power plants (NPPs) have been replac...
International audienceThe use of expert systems can be helpful to improve the transparency and repea...
This paper presents a visualisation approach of socio-technical system design evaluation based on hu...
This paper presents a visualisation approach of socio‐technical system design evaluation based on hu...
The objective of this paper is to present work on how a Bayesian Belief Network for a software safet...
Bayesian belief nets (BBNs) provide an effective way of reasoning under uncertainty. They have a fir...
This paper reports a method of assessing the implications for human error on system requirements, a ...
This article presents a Bayesian network model for human reliability assessment (HRA). In most exist...
Abstract: To meet the availability target and reduce system downtime, effective maintenance have a ...
This paper describes a validation approach of a socio-technical design support system using data min...
This paper describes a method of assessing the implications for human error on user interface design...
The Bayesian network (BN) is a powerful model for probabilistic knowledge representation and inferen...
Airplanes, ships, nuclear power plants and chemical production plants (including oil & gas facilitie...
As the instrumentation and control (I&C) systems in nuclear power plants (NPPs) have been replac...
Success Likelihood Index Model (SLIM) is one of the widely-used deterministic techniques in human re...
As the instrumentation and control (I&C) systems in nuclear power plants (NPPs) have been replac...
International audienceThe use of expert systems can be helpful to improve the transparency and repea...
This paper presents a visualisation approach of socio-technical system design evaluation based on hu...
This paper presents a visualisation approach of socio‐technical system design evaluation based on hu...
The objective of this paper is to present work on how a Bayesian Belief Network for a software safet...
Bayesian belief nets (BBNs) provide an effective way of reasoning under uncertainty. They have a fir...
This paper reports a method of assessing the implications for human error on system requirements, a ...
This article presents a Bayesian network model for human reliability assessment (HRA). In most exist...
Abstract: To meet the availability target and reduce system downtime, effective maintenance have a ...
This paper describes a validation approach of a socio-technical design support system using data min...
This paper describes a method of assessing the implications for human error on user interface design...
The Bayesian network (BN) is a powerful model for probabilistic knowledge representation and inferen...
Airplanes, ships, nuclear power plants and chemical production plants (including oil & gas facilitie...
As the instrumentation and control (I&C) systems in nuclear power plants (NPPs) have been replac...
Success Likelihood Index Model (SLIM) is one of the widely-used deterministic techniques in human re...
As the instrumentation and control (I&C) systems in nuclear power plants (NPPs) have been replac...
International audienceThe use of expert systems can be helpful to improve the transparency and repea...