Telemetry parameter and correlation with satellite control behavior-based satellite condition monitoring method

Abstract

The invention relates to a telemetry parameter and correlation with satellite control behavior-based satellite condition monitoring method. The method comprises the following steps that: telemetry data of satellite controlled analog quantity are received through satellite ground station equipment, and whether the analog quantity is correlated to satellite states is judged, if the analog quantity is correlated to the satellite states, the analog quantity is determined as a corresponding telemetry parameter; correlation relationships of the change modes of the telemetry parameter and satellite control behaviors are analyzed, and characteristic quantity is defined; characteristic quantity data of a monitored satellite under different types of states are obtained according to the characteristic quantity and historical telemetry data; the probability model of the characteristic quantity is established through adopting a statistical method; and the telemetry data of the telemetry parameter are received according to a time sequence, and the characteristic quantity data are extracted, and the state of the monitored satellite is judged through using a statistical method and according to the established probability model. The method of the invention has high efficiency, is not sensitive to noises and outliers, and is consistent with the engineering practice of the discrete value of the satellite telemetry data at a finite level. With the method adopted, inter-threshold anomalies can be identified and warned against as early as possible.

Description

technical field [0001] The invention belongs to the field of satellite on-orbit health management, and in particular relates to a satellite on-orbit state monitoring method. Background technique [0002] To monitor the on-orbit operation status of satellites, it is often necessary to extract feature data from on-orbit telemetry data, and judge the status of the satellite based on the feature data, such as normal or abnormal. At present, the feature extraction of telemetry data mainly adopts signal processing methods, such as Fourier transform, wavelet transform, and spectrum analysis. However, these methods have low computational efficiency, poor anti-interference performance, difficulty in determining eigenvalues, and are mainly aimed at continuous value sequences, which are difficult to adapt to satellite telemetry data with fast downlink speed, large data volume, discrete values ​​at a limited level, complex types, It has the characteristics of high noise and many outlie...

AI Technical Summary

Problems solved by technology

[0004] However, the existing satellite on-orbit state monitoring methods do not make good use of the behavior characteristics of the control system or control device to correlate telemetry parameters, and the existing signal processing-based telemetry data feature extraction methods also have many engineering incompatibility , so that many problems existing in the current monitoring methods such as low computational efficiency, poor anti-interference, sensitivity to noise and outliers have not been resolved for a long time

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