scholarly journals Application of Fault Tree – Bayesian Network for Graving Dock Gate Failure Analysis

2018 ◽  
Keyword(s):  
Failure Analysis ◽  
Bayesian Network ◽  
Fault Tree

Gear Transmission Fault Tree Analysis Based on Bayesian Network

2012 ◽  
Vol 499 ◽  
pp. 482-486
Author(s):  
Zhen Zhou ◽  
Jin Biao Zhang ◽  
De Zhong Ma ◽  
Yong Qin ◽  
Bo Zhang
Keyword(s):  
Fault Diagnosis ◽  
Failure Analysis ◽  
Bayesian Network ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Gear Transmission ◽  
Analysis Method ◽  
Tree Analysis ◽  
Reliability Level ◽  
Mechanical Products

As a kind of important mechanical drive forms, the reliability level of gear transmission directly haves an effect on the performance of mechanical products. At present, the analysis method of main gear transmission failure is the fault tree analysis, which has several limits in describing multi-state events. Bayesian network which is very suitable to express multi-state events and uncertain logical relationships has been successfully applied to fault diagnosis field. Therefore, Bayesian network is researched in this paper in order to improve gear transmission fault tree, solve limits of the fault tree out and make the failure analysis results more objective and accurate.

Application of Bayesian Network in Safety Evaluation of Metro Construction

2013 ◽  
Vol 838-841 ◽  
pp. 1463-1468
Author(s):  
Xiang Ke Liu ◽  
Zhi Shen Wang ◽  
Hai Liang Wang ◽  
Jun Tao Wang
Keyword(s):  
Bayesian Networks ◽  
Bayesian Network ◽  
Posterior Probability ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Safety Evaluation ◽  
Tree Analysis ◽  
Tunnel Blasting ◽  
Better Than

The paper introduced the Bayesian networks briefly and discussed the algorithm of transforming fault tree into Bayesian networks at first, then regarded the structures impaired caused by tunnel blasting construction as a example, introduced the built and calculated method of the Bayesian networks by matlab. Then assumed the probabilities of essential events, calculated the probability of top event and the posterior probability of each essential events by the Bayesian networks. After that the paper contrast the characteristics of fault tree analysis and the Bayesian networks, Identified that the Bayesian networks is better than fault tree analysis in safety evaluation in some case, and provided a valid way to assess risk in metro construction.

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