基于大数据的卫星遥测数据故障征兆分析方法

Method of Fault Symptom Analysis Based on Big Data for Satellite Telemetry Data

卫星在轨遥测数据信息量巨大,且表征卫星在轨道上的运行状态和故障趋势[1]。首先,介绍了大数据在卫星故障分析方面的研究现状;其次,在现有研究的基础上充分地运用大数据技术,解决卫星遥测大数据采集、存储过程中的问题;然后,结合大数据分析方法研究卫星在轨遥测数据与故障状态的关系,并提出基于大数据的卫星遥测数据故障征兆分析方法;最后,分析了此方法的优势和应用场景,具有一定的推广使用价值。

The telemetry data of satellite in orbit has a large amount of information and represents the operating state and fault trend of satellite in orbit.Firstly,the research status of big data in satellite fault analysis is introduced.Next,on the basis of the existing research,big data technology is fully used to solve the problems in the acquisition and storage of satellite telemetry big data.Combined with the big data analysis method,the relationship between satellite telemetry data in orbit and fault state is studied,and the fault symptom analysis method of satellite telemetry data based on big data is proposed.Finally,the advantages and application scenarios of this method are analyzed,which has certain value of popularization and use.