Abstract: In this paper, based on particle swarm optimization algorithm, a method to evaluate the performance of aeroengine used in outfield is studied. The criterion of selecting the data which can be used for performance calculation from the massive usage data of aeroengine is put forward. Aiming at the defect that the fitness function value of the traditional adaptive correction method is not high, a comprehensive method of prediction and correction is proposed to improve the original performance evaluation method. The calculation results show that the fitness function value obtained by the improved method has increased from around 0.85 to above 0.98, making the results more credible.