Automatic Generation of Fault Diagnostic Reports for Satellite Parameters Based on Telemetry Data

This paper investigates the fault diagnosis methodology of satellite star sensor and gyroscope utilizing telemetry data, alongside the exploration of automated fault diagnosis report generation through MATLAB. Initially, the consistency of measurements from multiple star sensors is evaluated using a star sensor data consistency algorithm, facilitating the detection of potential sensor failures. Upon confirming the normal operation of the star sensors, a star sensor-gyroscope combined diagnostic algorithm is employed. This algorithm integrates satellite attitude kinematics equations with the Extended Kalman Filter (EKF) to assess the consistency between star sensor and gyroscope data, thereby determining the presence of gyroscope failures. Additionally, the 3σ rule is applied to set threshold values for residual evaluation. The effectiveness of the proposed methods is validated through numerical simulation. Moreover, this study delves into the technology for auto-generating research reports on the MATLAB platform. It can automatically read telemetry data and invoke the fault diagnosis algorithm to complete fault analysis efficiently, ultimately producing a detailed fault diagnosis report.