飞行数据趋势监测在飞机“健康状况”评估中的应用

针对飞行数据属于多状态时域数据的特点提出了一种用于参数趋势监测的方法 ,该方法为“飞机健康”状况提供了一种科学的评估依据。首先对飞机在稳定工作状态和飞行特征时段下的飞行数据进行筛选处理、野点剔除和统计分析 ,并在此基础上建立时间序列AR模型进行参数预测 ,进而采用阈值对比法实现了参数的趋势监测 ,最后讨论了趋势监测在“飞机健康”状况评估中的应用方案。实例表明这一方法具有较高的准确性和重要的工程应用价值

A Study of Aircraft Health Status Evaluation Based on Flight Data Trend Monitor

Considering the characteristic of flight data's multimode, a new method for monitoring the trend of parameters aiming at aircraft health status evaluation is proposed. First, the filtering process, jump-point elimination and statistic analysis to the flight data are performed during the steady - working state and typical - flight period. Then, by using AR model the value of the parameters is predicted, and finally by using the threshold value comparison method the trend of parameters is monitored successfully. The result shows the accuracy and applicability of this method.