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
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.
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;
Conference_Titel :
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2486-3
DOI :
10.1109/APPEEC.2009.4918645
