Development of a mathematical model of the generalized diagnostic indicato on the basis of full factorial experiment
Journal Title: Archives of Transport - Year 2017, Vol 43, Issue 3
Abstract
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.<br/><br/>
Authors and Affiliations
Viktor G. Sychenko, Dmytro V. Mironov
Keywords
Related Articles
- EP ID EP220356
- DOI 10.5604/01.3001.0010.4230
- Views 102
- Downloads 0
The Concept of a Logistics Centre Model as a Nodal Point of a Transport and Logistics Network
The paper presents a concept of a logistics centre model. The model is based on defined output/input flows of goods. Therefore it is possible to determine and estimate the load of elements of the centre infrastructure be...
Development Trends for Automatic Train Protection systems
The elaboration shows basic requirements fulfilled by controlling devices, together with work sequences of each particular configuration. These devices are commonly used in railway and subway networks and they ensure tra...
Driving energy management of front-and-rear-motor-drive electric vehicle based on hybrid radial basis function
This paper presents mathematical methods to develop a high-efficiency and real-time driving energy management for a front-and-rear-motor-drive electric vehicle (FRMDEV), which is equipped with an induction motor (IM) and...
SCIENTIFIC APPLICATIONS OF THE AHP METHOD IN TRANSPORT PROBLEMS
In methodologies of solving different transport problems where the best decision has to be determined usually a number of chosen quantitative criteria are incorporated, which describe qualitative parameters of transport...
SERVICE LEVEL IN MODEL OF INVENTORY LOCATION WITH STOCHASTIC DEMAND
In this paper we consider the influence of the safety factor on the decision of the inventory location. This decision is done based on the model which centralizes or decentralizes the safety stock. In this model we have...