HIGH TECH IN EARTH SPACE RESEARCH

Methodology for monitoring and predicting the technical condition of the secondary power supply system of field communication objects based on a neural network campaign

Abramkin R.V., Pedan A.V., Vinogradenko A.M.

Introduction: сurrently, the control of the technical condition of complex technical systems, such as the secondary power supply system of field communication facilities, is a long and non-automated process that is carried out by operators directly at the control facilities themselves.

This circumstance has a negative impact on the timely detection of failures of the controlled object. Also, a very negative factor is the complete absence of any forecast of the technical condition of the control object, which leads to sudden disconnections of the secondary power supply system of field communication facilities, and, accordingly, a break in communication. The combination of these factors has an extremely negative effect both on the stable operation of the communication system as a whole, and on the coefficient of serviceable operation of the communication direction, in particular. The purpose of the work is to develop methods for monitoring and predicting the technical condition of the secondary power supply system of field communication facilities. Methods used: the application of the neural network approach allows you to achieve very accurate results and get high performance systems in real time. The novelty of the work is to increase the accuracy and speed of control, the ability to predict the technical condition, the integration of the secondary power supply system into the information environment of the field communication object by using neural network technologies. Result: the application of the neural network approach allows you to predict the technical condition, as well as more accurately classify the technical condition of the control object. Also, it becomes possible to centralize control, which, in turn, reduces the control time. Practical significance: the results of the work can be used in the process of monitoring and predicting the technical condition of complex technical systems, which will significantly reduce the number of accidents.

Editorial board

Bobrowsky V.I.
(Ph.D., Associate Professor, Head of Department of "INTELTEH")

Borisov V.V.
(Ph.D., Professor, Actual Member of the Academy of Military Sciences, Professor, Department of Computer Science of MPEI)

Budko P.A.
(Ph.D., Professor, Department of Technical communication and automation in S.M. Budjonny Military Academy of the Signal Corps)

Budnikov S.A.
(Ph.D., associate professor, Actual Member of the Academy of Education Informatization, Head of the automated control systems Department in Russian Air Force Military Educational and Scientific Center “Air Force Academy named after Professor N.E. Zhukovsky and Y.A. Gagarin”)

Verhova G.V.
(Ph.D., Professor, Head of Department of Automation communication companies In the Bonch-Bruevich Saint Petersburg State University of Telecommunications)

Goncharevsky V.S.
(Ph.D., Professor, Honored Worker of Science and Technology of the Russian Federation, Professor of technologies and technical support and maintenance of the automated control systems in Military Space Academy of A.F. Mozhaysky)

Komashinskiy V.I.
(Ph.D., Professor, professor of processing and transmission discrete messages in the Bonch-Bruevich Saint Petersburg State University of Telecommunications)

Kirpanev A.V.
(Ph.D., Associate Professor, Head of JSC "Scientific Production Enterprise "Radar MMS")

Kurnosov V.I.
(Ph.D., Professor, Academician of Academy of Sciences of the Arctic, Academician of the International Academy of Informatization, International Academy of defense, security, law and order, corresponding member of the Academy of Natural Sciences, Senior Researcher" Open Joint Stock Company "Scientific Research Institute "Rubin")

Manuilov Y.S.
(Ph.D., Professor, Department of automated control systems space complexes in Military Space Academy of A.F. Mozhaysky)

Morozov A.V.
(Ph.D., Professor, Actual Member of the Academy of Military Sciences, Head of the Department of automated command and control systems in Military Аcademy of troops of antiaircraft defense)

Moshak N.N.
(Ph.D., Associate Professor, head of the department of "INTELTEH")

Prorok V.Y.
(Ph.D., Professor, professor of automatic control systems in Military Space Academy of A.F. Mozhaysky)

Semenov S.S.
(Ph.D., associate professor, professor of technical communication and automation in S.M. Budjonny Military Academy of the Signal Corps)

Sinicyn E.A.
(Ph.D., Professor, Head of the Research Department of JSC "The All-Russian research institute of radio equipment")

Shatrakov Y.G.
(Ph.D., Professor, Honored Worker of Science, Scientific Secretary of JSC "The All-Russian research institute of radio equipment")