Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
State space exploration in Markov models
SIGMETRICS '92/PERFORMANCE '92 Proceedings of the 1992 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Tail uncertainty analysis in complex systems
Artificial Intelligence
Bayesian Networks for Reliability Analysis of Complex Systems
IBERAMIA '98 Proceedings of the 6th Ibero-American Conference on AI: Progress in Artificial Intelligence
A Bayesian Belief Network for Reliability Assessment
SAFECOMP '01 Proceedings of the 20th International Conference on Computer Safety, Reliability and Security
Dynamic bayesian networks: representation, inference and learning
Dynamic bayesian networks: representation, inference and learning
Software failure prediction based on a Markov Bayesian network model
Journal of Systems and Software
Bayesian network based software reliability prediction with an operational profile
Journal of Systems and Software
Stochastic Ageing and Dependence for Reliability
Stochastic Ageing and Dependence for Reliability
Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment
Environmental Modelling & Software
Software maintenance project delays prediction using Bayesian Networks
Expert Systems with Applications: An International Journal
A tool for automatically translating dynamic fault trees into dynamic bayesian networks
RAMS '06 Proceedings of the RAMS '06. Annual Reliability and Maintainability Symposium, 2006.
Bayesian networks based rare event prediction with sensor data
Knowledge-Based Systems
Bayesian networks for dependability analysis: an application to digital control reliability
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Parametric dependability analysis through probabilistic Horn abduction
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Confidence estimation of feedback information for logicdiagnosis
Engineering Applications of Artificial Intelligence
Recognizing occluded faces by exploiting psychophysically inspired similarity maps
Pattern Recognition Letters
Using the BCD model for risk analysis: An influence diagram based approach
Engineering Applications of Artificial Intelligence
Probabilistic risk assessment of tunneling-induced damage to existing properties
Expert Systems with Applications: An International Journal
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In this paper, a bibliographical review over the last decade is presented on the application of Bayesian networks to dependability, risk analysis and maintenance. It is shown an increasing trend of the literature related to these domains. This trend is due to the benefits that Bayesian networks provide in contrast with other classical methods of dependability analysis such as Markov Chains, Fault Trees and Petri Nets. Some of these benefits are the capability to model complex systems, to make predictions as well as diagnostics, to compute exactly the occurrence probability of an event, to update the calculations according to evidences, to represent multi-modal variables and to help modeling user-friendly by a graphical and compact approach. This review is based on an extraction of 200 specific references in dependability, risk analysis and maintenance applications among a database with 7000 Bayesian network references. The most representatives are presented, then discussed and some perspectives of work are provided.