Development of a mathematical model of the generalized diagnostic indicator on the basis of full factorial experiment

• Autorzy: Sychenko V. G. , Mironov D. V.

Identyfikatory

DOI

10.5604/01.3001.0010.4230

• Języki publikacji: EN

Abstrakty

EN

Purpose. The aim of this work is to develop a mathematical model of the generalized diagnostic indicator of the technical state of traction substations electrical equipment. Methodology. The main tenets of the experiment planning theory, methods of structural-functional and multi-factor analysis, methods of mathematical and numerical modeling have been used to solve the set tasks. Results. To obtain the mathematical model of the generalized diagnostic indicator, a full factorial experiment for DC circuit breaker have been conducted. The plan of the experiment and factors affecting the change of the unit technical condition have been selected. The regression equation in variables coded values and the polynomial mathematical model of the generalized diagnostic indicator of the circuit breaker technical condition have been obtained. On the basis of regression equation analysis the character of influence of circuit breaker diagnostic indicators values on generalized diagnostic indicator changes has been defined. As a result of repeated performances of the full factorial experiment the mathematical models for other types of traction substations power equipment have been obtained. Originality. An improved theoretical approach to the construction of generalized diagnostic indicators mathematical models for main types of traction substations electric equipment with using the methods of experiments planning theory has been suggested. Practical value. The obtained polynomial mathematical models of the generalized diagnostic indicator D can be used for constructing the automated system of monitoring and forecasting of the traction substations equipment technical condition, which allows improving the performance of processing the diagnostic information and ensuring the accuracy of the diagnosis. Analysing and forecasting the electrical equipment technical condition with the using of mathematical models of generalized diagnostic indicator changes process allows constructing the optimal strategy of maintenance and repair based on the actual technical condition of the electrical equipment. This will reduce material and financial costs of maintenance and repair work as well as the equipment downtime caused by planned inspections and repair improving reliability and uptime of electrical equipment.

Słowa kluczowe

EN

electricity; traction substation; maintenance; diagnostics; full factorial experiment; mathematical model; regression equation

PL

elektryczność; podstacja trakcyjna; konserwacja; diagnostyka; eksperyment czynnikowy; model matematyczny; równanie regresji

• Wydawca: Warsaw University of Technology, Faculty of Transport
• Czasopismo: Archives of Transport
• Rocznik: 2017
• Tom: Vol. 43, iss. 3
• Strony: 125--133
• Opis fizyczny: Bibliogr. 18 poz., rys., tab.

Twórcy

autor

Sychenko V. G.

• Dnipropetrovsk National University of Railway Transport named after academician V. Lazaryan, Faculty “Energy processes management”, Department “Intellectual power supply system”, Dnipro, Ukraine

autor

Mironov D. V.

• Dnipropetrovsk National University of Railway Transport named after academician V. Lazaryan, Faculty “Energy processes management”, Department “Intellectual power supply system”, Dnipro, Ukraine

Bibliografia

• [1] ADLER, YU. P. & MARKOVA, E. V. & GRANOVSKIY, YU. V., 1976. Planning of experiment with the optimal conditions searching. Moscow: Science.
• [2] ALZOUBI, K. & LU, S. & SAMMAKIA, B. & POLIKS M., 2011. Factor Effect Study for the High Cyclic Bending Fatigue of Thin Films on PET Substrate for Flexible Displays Applications. Journal of Display Technology, 7(6), 348 -355.
• [3] ASATURJAN, V. I., 1983. The theory of experiment planning. Moscow: Radio and communication.
• [4] BONDAR', A. G. & STATYUKHA, G. A. & POTYAZHENKO, I. A., 1980. Planning of experiments in the optimization processes of chemical technology. Kiev: High school.
• [5] CHEN, F. & MA, X. & ZHAO, Y. & ZOU, J., 2011. Support Vector Machine Approach for Calculating the AC Resistance of Air-Core Reactor. IEEE Transactions on Power Delivery, 26 (4), 2407 – 2415.
• [6] GARD, M. & LEVINSON, S. J. & FERRARO, S. B. & JIMENEZ, J. A., 2012. A Factorial Experiment to Characterize the Small-Caliber Launcher. IEEE Transactions on Plasma Science, 40 (1), 118-123.
• [7] KUZNECOV, V. G. & GALKІN, O. G. & EFІMOV, O. V. & MATUSEVYCH, O. O., 2009. Reliability and diagnostics of the traction power supply equipment. Dnipro: Makovec'kij.
• [8] MATUSEVYCH, O. O. & MIRONOV, D. V., 2015. Study of the manual power equipment of traction electrification system of the railways. Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport, 1 (55), 62-77.
• [9] MATUSEVYCH, O. O. & SYCHENKO, V. G. & BIALON A., 2016. Continuous improvement of technical servicing and repair system of railway substation on the basis of FMEA methodology. Technika Transportu Szynowego, 1-2, 75—79.
• [10] MILLS, K. L. & FILLIBEN, J. J. & HAINES, A. L., 2015. Determining Relative Importance and Effective Settings for Genetic Algorithm Control Parameters. Evolutionary Computation, 23 (2), 309 – 342.
• [11] MIRONOV, D. V. & SYCHENKO, V. G. & MATUSEVYCH, O.O., 2016. Automated system of monitoring and predicting the actual residual life of the traction substations equipment. Electrical engineering and Electromechanics, 4 (1), 57 – 63.
• [12] MIRONOV, D. V., 2015. Improvement the system of maintenance service and repair for traction substations equipment using the generalized criteria. Power Engineering: Economics, Technique, Ecology, 3 (41), 107-116.
• [13] NALIMOV, V. V. & GOLIKOVA, T. I., 1980. Logical basis of experiment planning. Мoscow: Metallurgical.
• [14] NALIMOV, V. V., 1965. Statistical methods of extreme experiments planning. Moscow: Science.
• [15] SZELĄG, A., 2017. Electrical Power Infrastructure for Modern Rolling Stock with Regard to the Railway in Poland. Archives of Transport, 42 (2), 75-83.
• [16] SZUBARTOWSKI, M., 2013. Semi-Markov Model of the Operation and Maintenance Process of City Buses. The Archives of Transport, 1-2, 109-116.
• [17] THE MINISTRY OF INFRASTRUCTURE, 2008. Manual on maintenance and repair of the traction substations equipment of electrified Railways.
• [18] VOZNESENSKIJ, V. A. & KOVAL'CHUK, A. F., 1978. Decisions on statistical models. Мoscow: Statistics.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).