Mining Algorithm and Simulation of Satellite Telemetry Date Based on Piecewise Regression Approximation Method
Hu Shaolin · Jisuanji fangzhen · 2013
During the long operational time of a satellite,there is a large number of telemetry data which contain valuable information of satellite status change.Therefore,it is of great significance to mining the variation characteristics for detecting abnormal variations and performing fault diagnosis of a satellite.Aiming at the problems of in-orbit satellite telemetry data analysis and the fault diagnosis similarity searching,this paper described a mining algorithm of telemetry time series similarity based on Piecewise Regression Algorithm(PRA).Firstly,this algorithm was used to realize the dimension reduction through mining satellite telemetry data to reduce the data volume.And then the index tree of multidimensional space was established.The time sequence data of similar sequences were obtained through the seeking of the similarity threshold detection.The theoretical analysis and the simulation test of satellite power subsystem telemetry data show that the algorithm can effectively reduce the dimension and keep the data trend.The establishment of the similar sequence proveds the basis for satellite orbit data analysis and fault diagnosis.