Fault Tree Analysis Using Bayesian Optimization: A Reliable and Effective Fault Diagnosis Approaches

Author(s):  
Liu Jinfei ◽  
Li Yinglei ◽  
Ma Xueming ◽  
Wang Liang  ◽  
Li Jielin
2005 ◽  
Vol 10 (7) ◽  
pp. 531-542 ◽  
Author(s):  
J.-R. Chang ◽  
K.-H. Chang ◽  
S.-H. Liao ◽  
C.-H. Cheng

2011 ◽  
Vol 204-210 ◽  
pp. 1994-1997 ◽  
Author(s):  
Zheng Yao ◽  
Zhao Hua Wang

The complexity of modern equipment is higher than before, thus it cannot meet the need of speedy fault diagnosis to use single diagnosis pattern. According to these troubles, a fault tree was introduced to analyze fault information of gear. Fault tree analysis is a logical and diagrammatic method to evaluate the probability of an accident resulting from sequences and combinations of faults and failure events. In conventional fault tree analysis, probabilities and consequences are treated as exact values. In many engineering applications, however, it is difficult to evaluate the probabilities and consequences from past experiences, so a fuzzy set defined in probability is proposed. The principle of fuzzy diagnosis is taken as basics and symptom sets and faults sets are extracted through fault tree analysis. Experiments show this method is effective for fault diagnosis of gear.


2013 ◽  
Vol 378 ◽  
pp. 403-407
Author(s):  
Jian Feng Yang ◽  
Ling Ling Chen ◽  
Wen Bin Liu

Flue gas turbine is one of the highest failure rate of the power equipment in oil refinery now.It is a key role to achieve saving energy and reducing consumption, the goal ofpollution reduction and the safe, reliable and efficient operation of the flue turbine in refinery. Therefore, it is of great significance to the fault diagnosis of the blade by summarizing the fault reason of the flue gas turbine and using fault tree analysis.


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