IMPLEMENTATION OF INFORMATION MODELS OF DIAGNOSING AND PREDICTION OF CURRENT TRANSFORMER INSULATION STATE
Науковий журнал «Радіоелектроніка, інформатика, управління»
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IMPLEMENTATION OF INFORMATION MODELS OF DIAGNOSING AND PREDICTION OF CURRENT TRANSFORMER INSULATION STATE |
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Skrupskaya, L. S.; Zaporizhzhya National Technical University, Zaporizhzhya, Ukraine |
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UML, diagnosing, prediction, insulation, current transformer. |
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The article deals with the problem of the development of the Unified Modeling Language-models such as use cases, classes, activities,<br />conditions and sequences of interaction of components to diagnose the state of current transformers insulation. The purpose of the work is to<br />improve the efficiency of diagnosing and prediction of current transformers primary insulation state using modern software. The object of<br />research is the process of diagnosing of current transformers primary insulation state. The subject of research is the neural network models, by<br />which the prediction of the insulation state is performed. The novelty lies in the fact that the developed information models allow realizing<br />the neural network models of diagnosing and prediction of current transformer insulation state independently of the selected programming<br />language. Experiments confirming the adequacy of the proposed model have been executed. The practical value of the work consists in the fact<br />that by using the proposed UML-models the software that allows diagnosing and prediction of current transformer insulation state is developed. |
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Zaporizhzhya National Technical University 2017-01-20 00:00:00 |
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application/pdf http://ric.zntu.edu.ua/article/view/90271 |
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Radio Electronics, Computer Science, Control; No 4 (2016): Radio Electronics, Computer Science, Control |
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ru |
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Copyright (c) 2017 L. S. Skrupskaya |
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