Author:
Akhmetshin A R,Suslov K V,Astashkov N P,Olentsevich V A,Shtayger M G,Karlina A I
Abstract
Abstract
The widespread use of electric motors in various electric drive systems and the automatic regulation of their performance are largely determined by the reliability of these machines, the failures of which cause significant material damage and are caused by significant yard time at the depot repair positions. Improving their reliability is a major scientific and technological challenge. When electric locomotives operate on the East Siberian Railway, severe climatic conditions have a direct impact on the reliability of electrical equipment, so the development of an algorithm to control the performance of blower motors for various operating modes is an urgent task. The main parameters of the entire electric locomotive energy system, which largely determine the safety of trains and the amount of throughput capacity of the sections, are the reliability of cooling machines and the algorithm of their operation in different operating modes, taking into account weather and climatic conditions. The immediate accounting and analysis of the causes of the failure of asynchronous electric motors with a short-circuited rotor in the blower drive, the use of which is justified by the simplicity of the design, was the basis for the development of the algorithm proposed in this article. The electric locomotive cooling control algorithm is focused on eliminating or minimizing snow, dust insulation of traction electrical equipment in a given range of regulation. Elimination of the unauthorized shutdown of cooling machines by locomotive crews while the train runs in the slow-down mode, as well as the elimination of the start processes of asynchronous electric motors of the blower motor actuator, will improve the reliability of the entire electric locomotive in general.
Reference15 articles.
1. Reliability of electric traction vehicles;Ivanov;Scientific problems of transport of Siberia and the Far East,2008
2. Analysis of reliability and sustainability of organizational and technical systems of railway transportation process;Olentsevich;IOP Conf Ser.: Mater. Sci. Eng.,2020
3. Smart grid: Algorithms for control of active-adaptive network components;Suslov,2015
4. Heavy-haul traffic is a reserve for increasing carrying capacity;Upyr’;Railway transport,2020
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