卫星在轨遥测数据异常分级方法的研究

【摘要】 文章通过对卫星在轨遥测数据传输过程中各环节可能出现异常的归纳,分析总结了不同成因条件下异常数据的呈现特点,在此基础上提出了一种适用于日常监测的卫星在轨遥测数据异常分级方法。该方法基于实时遥测数据,随时间积累确定异常分级,筛选出真正由卫星异常引起的异常遥测数据,为后续卫星故障诊断提供数据支撑。更多还原

【Abstract】 In this paper, the possible anomalies in each link of satellite in-orbit telemetry data transmission are summarized,and the characteristics of abnormal data under different genetic conditions are analyzed and summarized. On this basis, an anomaly classification method for satellite in-orbit telemetry data is proposed, which is suitable for daily monitoring. Based on the real-time telemetry data, the anomaly classification is determined with time accumulation, and the abnormal telemetry data caused by satellite anomalies are screened out, which provides data support for subsequent satellite fault diagnosis.更多还原