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研究以建立一种重着陆预测模型为目的,筛选飞机着陆过程中部分飞参数据,有针对性地提出一套飞参数据处理与分析方法,基于处理后的飞参数据建立一种支持向量机的重着陆预测模型,通过特征选取与参数优化,对预测模型做进一步修正,可实现75.69%的重着陆预测率。预测模型可有效实现重着陆的预测,对飞机着陆安全预警工作,具有重要借鉴意义。
In this paper, aiming at establishing a model of land-landing prediction, some data of flight parameters during aircraft landing are screened, and a set of data processing and analysis methods are put forward. Based on the processed flight data, a support vector machine The landing prediction model can be further modified by feature selection and parameter optimization to achieve a 75.69% landing prediction rate. Prediction model can effectively predict the landing, which is of great significance to aircraft landing safety early warning.