Methods for Reconstruction of Abnormal Velocity Data on Characteristic Points Based on Historical Data

Abstract

AbstractVelocity measurement data is an important data source and component of external trajectory measurement data of carrier rocket. However, the trajectory changes dramatically near the characteristic points of carrier rocket, and the measurement equipment often has the problem of missing points and anomalies. The velocity measurement data usually contains abnormal data points. It is a prerequisite to ensure the reliability of the processing results to identify and reconstruct abnormal data in the measurement data sequence timely and accurately. Some traditional methods of outliers elimination and repair are not applicable, and the data can be easily deviated. To solve this problem, a method based on historical data is used to reconstruct abnormal data. That is, by analyzing and studying the change trend and correlation of the historical data near the feature point, mining the change trend near the feature point and reconstructing the abnormal data at the feature point. The results of an example show that the proposed method can effectively identify anomalies and reconstruct data, and good engineering results are achieved.KeywordsHistorical dataCharacteristic pointsReconstruction