Известия Томского политехнического университета: Инжиниринг георесурсов (Sep 2017)
Creating a graph model for the diagnosis of the traction motor commutator-brush unit considering thermal factors
Abstract
Increasing of diagnosis accuracy of the technical condition and energy efficiency of the rolling stock traction motor is one of the current problems of the modern railway transport. Among the methods, which underlie a technical diagnostic system, the most promising is a semigraphical method, which displays the object in the space of diagnostic features and improves the accuracy of the diagnosis. The relevance of the discussed issue is caused by the need to increase the diagnosis accuracy of the technical condition of a traction motor commutator-brush unit, because it influences the energy efficiency of electric energy conversion in the power supply systems of railway transport. The main aim of the study: creation of the parent graph model matrix to generate a table of syndromes and produce graph model components of reachable vertex. The calculation of the critical distance to trim graph model components of reachable vertex and formation of the working graph model to control the working quality of the commutator-brush unit of traction DC motor function. The methods used in the study are based on the application of the applied graph theory. The problem is solved based on the provisions of the electrical machines theory, using the methods of expert estimations, semigraphical method and methods of mathematical statistics. In the process of calculation and analysis of mathematical relationships the authors used Microsoft Excel 2010 and programming language Visual Basic for Applications. The results. The authors refined a commutator-brush unit traction motor graph model. Based on the parent matrix we also formed a matrix of partial distances. Using the matrix partial distances data the syndromes were formed and graph model components of reachable vertex were produced. Critical distance is defined as the median of the value of the histogram distance routes of all lengths graph model. Based on the determined critical distance value the components of reachable vertex were truncated and the syndromes were corrected. The merger of truncated syndromes led to the formation of a working model.
