DocumentCode
3357925
Title
Notice of Retraction
Reliability Analysis of transformer Based on FTA And Mente Carlo Method
Author
Liu Shuping ; Han Zhengqing
Author_Institution
Sch. of Electr. Eng., Southwest Jiaotong Univ., Chengdu
fYear
2009
fDate
27-31 March 2009
Firstpage
1
Lastpage
3
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Considering the fact that transformer is void of reliability data, fault tree analysis (FTA) and Monte Carlo algorithm are combined in this paper to analyze the reliability of transformer. Fault trees are built. By using the fault tree, Mente carlo is applied to quantitatively analyze the model. Then the reliability index and cell importance parameter help to find out the weak link of the system. Combination of the above two methods offers a practical method for the reliability analysis of transformer.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Considering the fact that transformer is void of reliability data, fault tree analysis (FTA) and Monte Carlo algorithm are combined in this paper to analyze the reliability of transformer. Fault trees are built. By using the fault tree, Mente carlo is applied to quantitatively analyze the model. Then the reliability index and cell importance parameter help to find out the weak link of the system. Combination of the above two methods offers a practical method for the reliability analysis of transformer.
Keywords
Monte Carlo methods; fault trees; power system reliability; power transformers; FTA; Monte Carlo method; fault tree analysis; power system reliability analysis; transformer; Algorithm design and analysis; Computational modeling; Failure analysis; Fault trees; Oil insulation; Power system reliability; Power system simulation; Power transformer insulation; Sampling methods; US Department of Transportation;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location
Wuhan
Print_ISBN
978-1-4244-2486-3
Type
conf
DOI
10.1109/APPEEC.2009.4918645
Filename
4918645
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