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Algorithm for Assessing the Technical Condition of the Monitoring Radar Based on the Clustering of Multidimensional Nonuniform Time Series / A. V. Timoshenko, V. I. Goncharenko, A.Yu. Perlov, V. A. Pankratov. - Текст : электронный
// RUSSIAN AERONAUTICS. - USA : Allerton Press, 2022. - T. 65, № 4. - pp. 855–862. - URL: https://link.springer.com/article/10.3103/S1068799822040262 (дата обращения: 28.05.2026). - Режим доступа: национальная подписка. - URL: https://elibrary.ru/item.asp?id=79610771 (дата обращения: 15.05.2026).
Авторы:Timoshenko, A. V., Goncharenko, V. I., Perlov, A.Yu., Pankratov, V. A.
Ключевые слова:Monitoring radar, Technical condition data analysis, Time series clustering, Cycle stationarity, Topological data analysis, Dimensionality reduction
Аннотация:In the paper, a new algorithm is developed for assessing the technical condition of radar monitoring stations based on the clustering of multidimensional nonuniform time series of heterogeneous attributes obtained by the data analysis of the technical condition data collecting system. The results of application are presented for the developed algorithm of clustering the time series of the technical condition data of radar stations received during operation
Поиск:Источник
Ссылка на ресурс:https://elibrary.ru/item.asp?id=59622096
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