Telemetry-data based anomaly detection method for flywheel of in-orbit satellite

Due to that some parameters are unable to be measured in orbit, it is difficult to establish a precise physical model for in-orbit satellite flywheel. Aiming at this issue, a telemetry-data-based model for anomaly detection is proposed. The model considers only the main parameters that are closely related to the operating condition of the flywheel. Then, the prediction model is trained and tested based on normal telemetry data. The test result indicates that the predictors are consistent with the actual updating value. Moreover, an in-orbit flywheel fault detection method is proposed based on the predicted model. Finally, the method is verified with an in-orbit flywheel failure case, the experimental results indicate that the proposed method can timely and accurately identify the failure.