A method of consistently fusion-interpreting the telemetry data based on the evidence theory
Yue Jia, Lei Zhang, Lu Jiangwei · DOAJ (DOAJ: Directory of Open Access Journals) · 2019
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.