Abstract System safety, reliability and risk analysis are important tasks that are performed
throughout the system life-cycle to ensure the dependability of safety-critical systems …

A data-driven Bayesian network (BN) is used to investigate the effect of human factors on
maritime safety through maritime accident analysis. Its novelties consist of (1) manual …

Safety analysis in gas process facilities is necessary to prevent unwanted events that may
cause catastrophic accidents. Accident scenario analysis with probability updating is the key …

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 …

Safety and reliability are two important aspects of dependability that are needed to be
rigorously evaluated throughout the development life-cycle of a system. Over the years …

Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are
growing in popularity. Their versatility and modelling power is now employed across a …

Fault diagnosis plays a vital role in ensuring safe and efficient operation of modern process
plants. Despite the encouraging progress in its research, developing a reliable and …

In this paper, we present Radyban (Reliability Analysis with DYnamic BAyesian Networks), a
software tool which allows to analyze a dynamic fault tree relying on its conversion into a …

A Bayesian network–based risk analysis approach is proposed to analyse the risk factors
influencing maritime transport accidents. Comparing with previous studies in the relevant …

贝叶斯网络(BN) 是一种用于描述变量间不确定性因果关系的图形网络模型,
用于不确定性系统建模和推理, 处理涉及到预测智能推理, 诊断, 决策风险及可靠性分析的问题 …