Abstract
The article is devoted to the development of an intelligent on-board diagnostic system for an asynchronous traction electric motor of the DTA-1200 type, a passenger mainline electric locomotive of the EP20 series. A structural mathematical model in a fixed coordinate system is proposed for diagnosing the case and inter-turn insulation of the stator windings of an asynchronous traction motor of the DTA-1200 type. The results of modeling the serviceable and emergency condition of an asynchronous traction motor of the DTA-1200 type in the MATLAB&SIMULINK software package are presented. Using digital software processing of current waveforms in the stator winding, logarithmic spectrograms of the stator current of a serviceable and emergency asynchronous traction motor of the DTA-1200 type with inter-turn closure of the stator winding were obtained. To develop an on-board intelligent diagnostic system for an asynchronous traction motor of the DTA-1200 type, the authors propose to use a block diagram for determining the location of damage to the insulation of the stator windings of an asynchronous traction motor of the DTA-1200 type using artificial neural networks. The intelligent on-board system proposed in the article for diagnosing the insulation of the stator windings of an asynchronous traction electric motor of the DTA-1200 type of the EP20 electric locomotive makes it possible to identify dangerous failures and predict the residual life of asynchronous traction electric motors during long-term operation in severe climatic conditions at high and low temperatures, as well as high humidity of atmospheric air.
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