Model for Monitoring the Technical Condition of Onboard Equipment of Space Vehicles Based on the Telemetry Parameters of Transient Processes

The paper considers issues associated with identifying equipment onboard spacecraft and formalizing the process of monitoring its technical condition. The ambiguity in assessing the technical condition of onboard equipment on the basis of parameters characterizing transient processes is revealed. In this connection, an approach is proposed to estimate the parameters of transient processes using a neural network. The authors set a mathematical problem to develop a model for monitoring the technical condition equipment onboard spacecraft, minimizing the chances of making incorrect decisions about the technical condition in the process of monitoring. A conceptual model is proposed for monitoring the technical condition of onboard equipment extended by the neural-network transformation of telemetry parameters characterizing transient processes. The use of the model in the distributed system for monitoring the onboard equipment of spacecraft helps to eliminate indirect monitoring on the basis of calculated parameters in order to achieve the maximum monitoring reliability. The effectiveness of the proposed approach is shown using the motion control system of a spacecraft as an example. The features of technical condition are estimated according to the telemetry parameters of angular velocities obtained from the sensors. The obtained results indicate the advantages of using multilayer neural networks for generating the additional features of dynamic systems, as well as the possibility of achieving high accuracy in estimating these features, thus providing the full monitoring of the technical condition of onboard equipment.