船舶火灾评估中的贝叶斯网络技术研究

Design and intelligent control of a small ship adsorption robot

利用贝叶斯网络强大的建模分析能力及高效工作软件的支持,运用贝叶斯网络技术对船舶舱室火情进行分析。为有效利用历史信息,避免贝叶斯网络建模的主观性,将事件树/故障树模型转化为贝叶斯网络模型,该方法有效提高了分析结果的可靠性,获得了更丰富的预计信息和更高效的计算能力。

The advantages of the Bayesian network is a powerful modeling and analysis ability and efficient software support. In this paper,the ship fire assessment method based on Bayesian network technology was studied. For the effective use of the historical information,avoid the subjectivity of Bayesian network modeling,event tree and fault tree model was converted to Bayesian network model,this method can effectively improve the analysis results of reliability, and get the information and more efficient computing capacity.