AUTOMATIC RESTORATION OF MISSED DATA, CORRECTION OF DAMAGED ONES AND EMULATION OF DATA OF TELEMETRY OF SPACE VEHICLE
The task of testing the operability of the sensor structure of space systems is considered to be highly important because it is related to ensuring its fault tolerance. As far as the scale and difficulty of systems and programs increases, the size of the analyzed information increases, and it is not always available for experimental studies related to the modeling of various anomalies, which is actually necessary for building and setting up special monitoring and diagnostic systems. The paper proposes a factory method (stream emulation) data, designed to simulate all sorts of environments with spacecraft sensors and to test breakdown detection and prediction techniques. At the expense of the proposed means, a high level of coverage is provided by the automatic control of all kinds of situations that arise during the operation of spacecraft. A clearer adjustment of instrumental means of monitoring, diagnosing and forecasting the development of situations associated with anomalies and sensor failures is provided. In this paper, the main focus is made on the recovery of missing or damaged data based on artificial neural networks and on the generation of data simulating information coming from spacecraft. This allows you to research all sorts of sequences that have set of failures; show and predict anomalies in the operation of subsystems.