Abstract: In order to evaluate the quality of flight training effectively and optimize the training organization model timely, a comprehensive evaluation model of flight training quality based on the improved combined weighting-TOPSIS was proposed. Using the Out-of-gauge events as evaluation indicators, the model operates the principle of maximizing variance to optimize the combination of subjective and objective weights determined by the CRITIC-G1 and confirms the optimal weights. This paper analyzed the data of different samples by using the TOPSIS method, and introduced the RSR classification method which could achieve the purpose of classifying flight training quality levels. By analyzing and verifying the Out-of-gauge events of C-172R, C-172S, SR20 aircraft airborne G1000 avionics system 14-month SD card, this paper found the evaluation results of the flight training quality evaluation model are consistent with the actual operation and are reasonable and applicable. It can provide data and information support for optimizing the training organization model.
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王帅,陈勇刚,曾超. 基于超限事件的飞行训练品质评估模型[J]. 科学技术与工程, 2022, 22(12): 5074-5080. Wang Shuai, Chen Yonggang, Zeng Chao. Flight training quality evaluation model based on Out-of-gauge event[J]. Science Technology and Engineering,2022,22(12):5074-5080.