Notice of RetractionUncertainty analysis of turbine blade fatigue life distribution based on Bayesian inference

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.

This paper investigated the application of Bayes´ theorem in life distribution. The uncertainty of the model itself was rarely cared about Bayesian theory. So probability distribution model uncertainty and structural parameter uncertainty was researched through Bayes´ theorem. This paper developed the fatigue life distribution mode of turbine blade. Firstly, find the best model by quantification of fatigue life distribution model; then update the parameters of the model; finally, calculate Bayesian posterior probability by Markov Chain Monte Carlo Algorithm (MCMC) in OpenBUGS.