Competency-based assessment of pilots’ manual flight performance during instrument flight training

Abstract A pilot's control behavior has a direct impact on aviation safety. To adapt to new flight training reforms, competency-based assessment method is proposed in this paper. First, scenarios, key competencies and observable behaviours were determined. Then, indexes developed based standard operating procedures practical examination standards. Flight data analyzed curve similarity theory time series fast retrieval algorithm, the scored. The competency was established by quantifying “HOW MANY” OFTEN” behaviors according score results. Finally, fuzzy C-means clustering algorithm used classify values, results obtained. teardrop pattern procedure test reliability of method. indicate that correlation coefficient between model evaluation expert 0.947 with significance level 0.01, reliably objectively manual performance improving scientific nature methods. institutions can use establish diverse scenarios formulate corresponding characteristics each pilot reasonably evaluate pilot. Targeted methods then be adopted for different levels improve their competency.