基于证据理论的遥测数据一致性融合判决方法

A method of consistently fusion-interpreting the telemetry data based on the evidence theory

针对遥测时序数据判读复杂的问题,提出一种对飞行器发射试验遥测时序数据进行一致性分析判决的新方法。该方法通过构建Pearson相关系数、Spearman相关系数、Kendall相关系数等数据相关性分析途径,基于证据理论得到评估结果。实验结果表明,数据一致性结果正确,可以显著提高数据检查比对效率,改变目前数据判读依赖人工和数据判决方法单一的局面,在数据快速评定和快速分析中,特别是在故障分析中发挥重要作用。

Aiming at the complex problem of telemetry time series data interpretation, a new method was proposed which can consistently analyze and judge the telemetry data in launching tasks of vehicles. By establishing Person, Spearman, and Kendall correlation coefficients, the relevant analysis approach will obtain the assessment results based on the evidence theory. The experimental results show that the results of data consistency are correct, which can significantly improve the efficiency of data checking and comparison, change the current situation that data interpretation relies on manual and data judgment methods, and play an important role in data rapid assessment and analysis, especially in fault analysis.