Browsing by Author "Mironov, Dmytro V."

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    Development of a Mathematical Model of the Generalized Diagnostic Indicator on the Basis of Full Factorial Experiment
    (Versita, Poland, 2017) Sychenko, Viktor G.; Mironov, Dmytro V.
    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.
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    Structural–Functional Model of Maintenance and Repair of the Traction Substations Equipment
    (Науково-видавничний інститут ТТС, Радом (Польща), 2017) Sychenko, Viktor G.; Mironov, Dmytro V.; Białoń, Andrzej
    EN: To solve the problem of improving the quality control of substation equipment maintenance and repair process the structural and functional analysis for the distances of power supply has been performed. As a linguistic support for this task the International Standards Package Modeling IDEF (Icam Definition) has been used. It allows to analyze the process from three key perspectives at the same time – IDEFO (Integrated Definition for Function Modeling), IDEF3 and DFD (Data Flow Diagram). IDEF modeling is a way to reduce the amount of costly errors by structuring the process in the early stages of creating intelligent systems. It improves the communication between users and developers and smooth the transition from analysis to design. A complex task of equipment maintenance and repair process has been divided into a series of simple tasks on the basis of IDEF modeling. Structural – functional modeling with the selection of events has been done according to the IDEF0 methodology. Description of processes has been done according to the methodology IDEFЗ. DFD method has been used for building the data flow diagrams. Conducted structural-functional analysis has been shown that at some stages this process often requires the operational definition of different types of resources needed to perform repair work.