Fatigue lifetime assessment of aircraft engine disc based on multi-source information fusion

Fatigue lifetime assessment for an aircraft engine disc is important for the assessment of the engine reliability. This paper provides a new opinion to the fatigue lifetime assessment for aircraft engine disc based on the multi-source information fusion method using Bayesian inference. Subjective information quantifying method is used to transform the expert knowledge into prior distribution. Different expert prior distributions are characterized by consistent degree. The fusion factor is determined through a Bayesian version of Pearson's goodness-of-fit. This opinion effectively extends sample size and makes up the defects where the traditional methods in small sample fatigue lifetime assessment cannot.

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