Title :
Notice of Retraction
Reliability assessment of flue gas turbines based on fuzzy fault tree analysis
Author :
Lixiang Duan ; Laibin Zhang ; Jingjing Yue
Author_Institution :
Coll. of Mech. & Transp. Eng., China Univ. of Pet., Beijing, China
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.
Fault tree analysis (FTA) is a traditional tool used to evaluate the reliability of a system without considering the fuzziness and randomness of basic events. A new methodology, called fuzzy FTA (FFTA), is applied in this study to evaluate the reliability of flue gas turbines. The failure of flue gas turbines is determined as a top event and then a fault tree is constructed. The fuzzy probabilities of basic events are obtained based on historical malfunction data and expert experience. For qualitative analysis, 31 minimum cut sets are obtained. For quantitative analysis, the fuzzy failure probability of the top event is evaluated. The reliability of flue gas turbines is found to be about 0.8318, and the most important influencing factors are catalyst dust accumulation and blade wear. The study demonstrates that FFTA has great feasibility and adaptability in the reliability assessment of flue gas turbines.
Keywords :
catalysts; fault trees; flue gases; fuzzy set theory; gas turbines; probability; wear; FFTA; blade wear; catalyst dust accumulation; flue gas turbine; fuzzy FTA; fuzzy failure probability; fuzzy fault tree analysis; historical malfunction data; reliability assessment; Blades; Fault trees; Logic gates; Probability; Reliability; Statistical analysis; Turbines; flue gas turbine; fuzzy fault tree; quantitative analysis; reliability;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-1014-4
DOI :
10.1109/QR2MSE.2013.6625557