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Algorithm of relations detection between signals for detection of abnormal system states

Keywords:

I.V. Zotov - Dr.Sc. (Eng.), Professor, Department of Information systems and technologies, Southwest State University (Kursk). E-mail: zotovigor@yandex.ru A.I. Bashmakov - Post-graduate Student, Department of Information systems and technologies, Southwest State University (Kursk) Ya.V. Dudko - Post-graduate Student, Department of Information systems and technologies, Southwest State University (Kursk)


At present the solution of problems of the distributed control systems reliability depends on the issue of determining the data exchange reliability of information between the system\'s nodes. The important accent is the ability of abnormal situations\' detection before their occurrence. The most appropriate method to solve this problem is appliance of the data mining analysis of information flowsIn general, the task of identifying emergency situations is divided into three main stages: 1. Definition of the relationship between the signals to identify possible precedents followed by sifting the false interdepen-dencies; 2. Identification and analysis on the basis of previously analyzed data; 3. Development of control actions on the basis of identified cases. In this paper an algorithm for detection and analysis of precedents in the information management system is offered. Identification of emergency situations is expected to process on the basis of knowledge gained at the stage of system configuration and containing information on registered precedent.
References:

 

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