The identification of data anomalies from information sensors based on the estimation of the correlation dimension of the time series attractor in situational management systems
Purpose: The goal is the timely detection of uncharacteristic behavior of the observed processes in the systems of situational management, leading to the development or occurrence of emergency situations. Methodological approach: In the article, it is proposed to analyze the change dynamics in the c...
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Little Lion Scientific
2018
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oai:10.200.131.19:20.500.12258-2082018-07-27T07:05:45Z The identification of data anomalies from information sensors based on the estimation of the correlation dimension of the time series attractor in situational management systems Tebueva, F. B. Тебуева, Ф. Б. Kopytov, V. V. Копытов, В. В. Petrenko, V. I. Петренко, В. И. Anomalous behavior Attractor Correlation dimension Data of information sensors Purpose: The goal is the timely detection of uncharacteristic behavior of the observed processes in the systems of situational management, leading to the development or occurrence of emergency situations. Methodological approach: In the article, it is proposed to analyze the change dynamics in the correlation dimension of the attractor in order to detect anomalies in the behavior of the observed process. A sharp change in the correlation dimension is a reflection of the uncharacteristic (anomalous) nature of the data of the observed processes. This anomaly is a consequence of external influences on the generating system and requires an analysis of the causes of its occurrence. Uniqueness/value: The uniqueness of the proposed approach consists in the fact that an abrupt change in the correlation dimension of the attractor is the information about the occurrence of uncharacteristic behavior of the observed system. The value of the study is determined by the relevance of the problem of modeling the development and occurrence of emergency situations in situational management systems based on the analysis of the time series of observed processes. Summary: The proposed approach is designed to identify the critical states of the generating dynamical systems by their time series. Timely response to the transition of the monitored system to a critical state will allow preventing any critical consequence 2018-05-17T14:53:30Z 2018-05-17T14:53:30Z 2018 Статья Tebueva, F.B., Kopytov, V.V., Petrenko, V.I., Shulgin, A.O., Demirtchev, N.G. The identification of data anomalies from information sensors based on the estimation of the correlation dimension of the time series attractor in situational management systems // Journal of Theoretical and Applied Information Technology. - 2018. - Volume 96. - Issue 8. - pp. 2197-2207 https://www.scopus.com/record/display.uri?eid=2-s2.0-85046374604&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=nort*+caucas*+fed*+univ*&sid=c4dcc811c0f8dbdcc0d9f9c482c1872b&sot=afnl&sdt=afsp&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&relpos=2&citeCnt=0&searchTerm= https://dspace.ncfu.ru:443/handle/20.500.12258/208 en Journal of Theoretical and Applied Information Technology application/pdf Little Lion Scientific |
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СКФУ |
| collection |
Репозиторий |
| language |
English |
| topic |
Anomalous behavior Attractor Correlation dimension Data of information sensors |
| spellingShingle |
Anomalous behavior Attractor Correlation dimension Data of information sensors Tebueva, F. B. Тебуева, Ф. Б. Kopytov, V. V. Копытов, В. В. Petrenko, V. I. Петренко, В. И. The identification of data anomalies from information sensors based on the estimation of the correlation dimension of the time series attractor in situational management systems |
| description |
Purpose: The goal is the timely detection of uncharacteristic behavior of the observed processes in the systems of situational management, leading to the development or occurrence of emergency situations. Methodological approach: In the article, it is proposed to analyze the change dynamics in the correlation dimension of the attractor in order to detect anomalies in the behavior of the observed process. A sharp change in the correlation dimension is a reflection of the uncharacteristic (anomalous) nature of the data of the observed processes. This anomaly is a consequence of external influences on the generating system and requires an analysis of the causes of its occurrence. Uniqueness/value: The uniqueness of the proposed approach consists in the fact that an abrupt change in the correlation dimension of the attractor is the information about the occurrence of uncharacteristic behavior of the observed system. The value of the study is determined by the relevance of the problem of modeling the development and occurrence of emergency situations in situational management systems based on the analysis of the time series of observed processes. Summary: The proposed approach is designed to identify the critical states of the generating dynamical systems by their time series. Timely response to the transition of the monitored system to a critical state will allow preventing any critical consequence |
| format |
Статья |
| author |
Tebueva, F. B. Тебуева, Ф. Б. Kopytov, V. V. Копытов, В. В. Petrenko, V. I. Петренко, В. И. |
| author_facet |
Tebueva, F. B. Тебуева, Ф. Б. Kopytov, V. V. Копытов, В. В. Petrenko, V. I. Петренко, В. И. |
| author_sort |
Tebueva, F. B. |
| title |
The identification of data anomalies from information sensors based on the estimation of the correlation dimension of the time series attractor in situational management systems |
| title_short |
The identification of data anomalies from information sensors based on the estimation of the correlation dimension of the time series attractor in situational management systems |
| title_full |
The identification of data anomalies from information sensors based on the estimation of the correlation dimension of the time series attractor in situational management systems |
| title_fullStr |
The identification of data anomalies from information sensors based on the estimation of the correlation dimension of the time series attractor in situational management systems |
| title_full_unstemmed |
The identification of data anomalies from information sensors based on the estimation of the correlation dimension of the time series attractor in situational management systems |
| title_sort |
identification of data anomalies from information sensors based on the estimation of the correlation dimension of the time series attractor in situational management systems |
| publisher |
Little Lion Scientific |
| publishDate |
2018 |
| url |
https://www.scopus.com/record/display.uri?eid=2-s2.0-85046374604&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=nort*+caucas*+fed*+univ*&sid=c4dcc811c0f8dbdcc0d9f9c482c1872b&sot=afnl&sdt=afsp&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&relpos=2&citeCnt=0&searchTerm= https://dspace.ncfu.ru:443/handle/20.500.12258/208 |
| work_keys_str_mv |
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| _version_ |
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