Vibration model as a system of coupled oscillators in a direct current electric motor

Abstract

This article describes a vibration model connected by individual nodes of a DC motor. The purpose of the article is a mathematical model allowing to predict the work of machines with a depreciation resource and search for ways to increase the information content of assessing the functioning of the rolling stock condition without dismantling them. Currently, the operational reliability of the DC motor is reduced after the development of the service life. Study and evaluation of the vibration effect on the brush-collector node. The main components of the DC motor (bearings, electrical brushes) are unrecoverable. Therefore, any interference with their normal operation leads to premature wear of the entire DC motor. Existing methods for life-extending maintain the operational reliability of a DC motor equal or close to the passport data for several years. This model allows vibration diagnostics without dismantling the DC motor and stopping the rolling stock. The mathematical model describes the oscillations of each node of the DC motor in the direction of movement of the rolling stock, showing the excess of the permissible value. After mathematical processing of the results, a machine reliability model under study is obtained (usually in the form of polynomials) as a function of the needed parametersthe influencing factors. Due to this model, pre-detected defects can save on repairs and maintenance in the future. This model is the basis of software for online diagnostics. The proposed model allows providing an objective use of repair and restoration compositions depending on the current technical condition, which will lead to an increase in the service life of the mechanism and savings in operating costs. On the one hand, extending the operating life of a DC motor should produce an economic effect, and on the other hand, technical measures to maintain operational reliability cause an increase in material costs.

Determination of the characteristic points of approximation for traction electric machines of electric rolling stock

“…Having carried out experiments on the experimental setup of the Omsk University of Ways of Communication and according to the methodology developed at the Department of General Electrical Engineering and Electrical Machines [2,3], we obtained the CVC of the EG-61A electric brushes. The experiment was carried out for both composite and solid electric brushes with an increased resource [4,5].…”

“…Distribution of the residual resource Δh of brushes (Fig. 9) of diesel locomotives of the 2TE10 series during the run before current repair (TP3) at the Yudino locomotive depo, which averaged 220 thousand km across the depot [3]. For brushes EG 74 (solid): -mathematical expectation mVΔh = 10.544, -root-mean-square deviation σVΔh = 2.826.…”