Probabilistic transformer fault tree analysis using Bayesian networks

2014 ◽  
Author(s):  
Luiz Cheim ◽  
Lan Lin ◽  
Aldo Dagnino
Keyword(s):  
Bayesian Networks ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Tree Analysis ◽  
Transformer Fault

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.

Application of FTA and Improved FAHP in Power Transformer Risk Assessment

2013 ◽  
Vol 860-863 ◽  
pp. 2157-2160
Author(s):  
Yi Yun Sun ◽  
Xin Wang ◽  
Yi Hui Zheng ◽  
Li Xue Li ◽  
Qing Shan Xu
Keyword(s):  
Complex System ◽  
Power Transformer ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Mathematical Programming Problem ◽  
Analytic Hierarchy ◽  
Tree Analysis ◽  
Judgment Matrix ◽  
Transformer Fault ◽  
Hierarchy Process

For fast and accurately assessing the risk of the transformer failure and getting the reliability of transformer components, it is proposed a new method based on Fault Tree Analysis (FTA) and Improved Fuzzy Analytic Hierarchy Process (IFAHP) in this paper. Firstly power transformer fault tree is established accordingly to make the complex transformer faults system subdivide into various kinds of basic types directly; Secondly, the IFAHP is designed to analyze the fault tree, so the complex system of transformer can be quantitatively described and the fuzzy judgment matrix can be established; Finally, the fuzzy consistent qualification is changed into a mathematical programming problem and Genetic Algorithms (GA) is adopted to get the solution so as to obtain the reliability of transformer components. In addition, the application result shows the effectiveness of the method above.

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