Using Cluster Analysis in the Synthesis of Electrical Equipment Diagnostic Models

Ksenia Gnutova, Denis Eltyshev

References:

1. Solodyankin A.A., Kolesnikov A.A., Grisha B.G., Nazarov A.A., Yanovich I.M. (2015), ‘Modern methods of diagnostics and technical state assessment of the high-voltage electric power equipment’, Journal of Science and Technology, 2, pp. 70-72.
2. Kychkin A.V., Mikriukov G.P. (2016), ‘Applied data analysis in energy monitoring system’, Journal of Problems regional energy, 2(31), pp. 84-92.
3. Semenov V.V. (2004). Diagnosis and monitoring of highvoltage oil-filled electrical equipment. Ufa. Ufa State Aviation Technical University.
4. Elizarov S.I., Bargesyan A.A., Kupriyanov M.S., Holod I.I., Tess M.D. (2009). Analysis of the data and processes. 3rd edition, Saint-Petersburg: BHVPetersburg.
5. Khoroshev N.I., Pogorazdov R.N. (2016), ‘Adaptive Clustering Method in Intelligent Automated Decision Support Systems’, Proceedings of the 19th International Conference on Soft Computing and Measurements. SCM`2016, pp. 296-298.
6. Eltyshev, D.K., Boyarshinova, V.V. (2016), ‘Intelligent Decision Support in the Electrical Equipment Diagnostics’, Proceedings of the 19th International Conference on Soft Computing and Measurements. SCM 2016, pp. 157-160.
7. Petrochenkov A.B. (2015), ‘Management of Effective Maintenance of the Electrotechnical Complexes of Mineral Resource Industry's Enterprises Based on Energy-information Model’, Proceedings of International Conference on Soft Computing and Measurements. SCM 2015, pp. 122-124.
8. Shtovba S.D. (2007). Design of fuzzy systems tools MATLAB // S.D. Shtovba., Moscow: Telecom. Tosei Hatori, Mika Sato-Ilic. (2014), ‘A fuzzy clustering method using the relative structure of the belongingness of objects to clusters’, Journal of Procedia Computer Science, 35, pp. 994 – 1002.