Abstract
The article deals with the issues of technical diagnostics of on-board radioelectronic equipment of spacecrafts. A mathematical formulation of the problem is carried out in order to minimize the time of technical diagnostics. A method has been developed for monitoring the technical state of onboard radioelectronic equipment based on the interaction of elements of a distributed technical diagnostics system, which includes identification of onboard radioelectronic equipment and training a neural network, searching for the location and causes of a malfunction using a mathematical model and making decisions by controlling the onboard radioelectronic equipment of spacecrafts. When searching for the location and causes of a malfunction, an interesting approach is based on a neural network classification of malfunctions. Practical recommendations for technical diagnostics of onboard radioelectronic equipment of spacecrafts are presented, in particular, a scheme for constructing a promising onboard distributed system of technical diagnostics when interacting with onboard systems of a typical spacecraft.
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