| Найдено документов - 2 | Статьи из номера журнала: RUSSIAN AERONAUTICS. T. 68, № S2. - USA : Allerton Press, 2025. - Текст : электронный. | Версия для печати |
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1. Статья из журнала
| Dynamic regression model for predicting emergency situations radio electronic equipment to improve the efficiency of accident resolution / A. Yu. Perlov, D. A. Sharipov, K. V. L'vov, V. A. Pankratov. - Текст : электронный // RUSSIAN AERONAUTICS. - USA : Allerton Press, 2025. - T. 68, № S2. - pp. S80-S93. - URL: https://link.springer.com/article/10.3103/S1068799825060042 (дата обращения: 12.05.2026). - Режим доступа: национальная подписка. - URL: https://elibrary.ru/item.asp?id=83221652 (дата обращения: 12.05.2026). | |
| Авторы: | Perlov, A. Yu., Sharipov, D. A., L'vov, K. V., Pankratov, V. A. |
| Ключевые слова: | Methods of accident prediction, Critical infrastructure facilities, Radio information systems, Regression analysis, K-median method, Probabilistic simulation modeling |
| Аннотация: | The relevance of the study is due to the need to predict emergency situations at critical infrastructure facilities (CIF) to optimize repair planning and improve the sustainable operation of radio electronic equipment (REE). A dynamic model with recursion has been developed to predict emergency situations and improve the efficiency of emergency response at CIF. Improving the efficiency of response and emergency response in the decision support system (DSS) is achieved due to the fact that the model dynamically adjusts forecasts of the number of REE failures upon receipt of new data on failures. As a result, an original mathematical model based on the k-median method, clustering and probabilistic simulation modeling has been proposed, using recursion to increase the forecast horizon for equipment failures within the framework of long-term planning. In order to increase the accuracy of the forecast, the model takes into account the timely (dynamic) failure of REE at the forecasting stage itself. The practical significance lies in the possibility of forming an operational decision support system for dispatchers of situation centers based on the developed model. The implementation of this model into the system will allow dispatchers to quickly make decisions about the redistribution of resources and the timely dispatch of repair teams |
| Поиск: | Источник |
| Ссылка на ресурс: | https://elibrary.ru/item.asp?id=83221652 |
| Ссылка на ресурс: | https://link.springer.com/article/10.3103/S1068799825060042 |
| Электронный документ | Для просмотра необходимо войти в личный кабинет |
2. Статья из журнала
| An algorithm for predicting the technical condition of functional units of a radar system based on the integration of uneven time series / A. Yu. Perlov, D. V. Shuvarikov, V. A. Pankratov [и др.]. - Текст : электронный // RUSSIAN AERONAUTICS. - USA : Allerton Press, 2025. - T. 68, № S2. - pp. S65-S79. - URL: https://link.springer.com/article/10.3103/S1068799825060030 (дата обращения: 12.05.2026). - Режим доступа: национальная подписка. - URL: https://elibrary.ru/item.asp?id=83221651 (дата обращения: 12.05.2026). | |
| Авторы: | Perlov, A. Yu., Shuvarikov, D. V., Pankratov, V. A., Pereverzev, A. L., Kaleev, D. V. |
| Ключевые слова: | Monitoring system, Decision support system, Heterogeneous data, Data fusion, Prediction of the technical condition |
| Аннотация: | This work is aimed at investigating ways to analyze uneven time series of diagnostic information for predicting technical condition parameters. The urgency of this task is due to the need to ensure high accuracy in predicting diagnostic data in order to control the output of the functional characteristics of the space monitoring radar system (SMRS) beyond a given range and, in case of deviation, to make a decision by the engineer on duty to carry out preventive maintenance measures for the functional units of the SMRS. Generalized estimates of the reliability of forecast data are formed by data fusion of uneven time series of functions of absolute forecast errors and correlation functions of forecast and actual values of each diagnostic parameter. The developed algorithm for data fusion of estimates of the reliability of forecast values based on the Dezert-Smarandache and PCR5 rules is used to achieve high-precision prediction of failures of electronic equipment in real time |
| Поиск: | Источник |
| Ссылка на ресурс: | https://elibrary.ru/item.asp?id=83221651 |
| Ссылка на ресурс: | https://link.springer.com/article/10.3103/S1068799825060030 |
| Электронный документ | Для просмотра необходимо войти в личный кабинет |