For the development trend of aero-engines from traditional regular maintenance to condition-based maintenance

the genetic algorithm was studied in the gas path performance parameters estimation

and the improved genetic algorithm based on information fusion was proposed. The multi-source information was fused with genetic algorithm to reduce search range of genetic algorithm. The simulation results prove that the situation that genetic algorithm might fall into local optimum in optimization process can be effectively overcome by multi-source information fusion. The estimation accuracy of gas path performance parameters can be improved evidently

and the estimation error can be controlled within 5% or less.