Predicting the Failure of Traction Electric Motors of Electric Rolling Stock of Railways Using Deep Neural Networks

Effective use of fuel and energy resources is one of the main tasks in modern industry and transport. The main directions of increasing the energy efficiency of the electric rolling stock of railways are considered in the paper. For the electric rolling stock of railways, a significant proportion of electric power consumption falls on traction needs. The consumption of electrical energy and its recovery directly depends on the proper operation and fine-tuning of the magnetic system and switching of traction electric motors of the rolling stock. The methods of testing traction electric motors currently used in railway transport do not fully correspond to their operating modes during operation. For more reliable control of their condition, a methodology for estimating the nature of the operation of traction electric motors in conditions close to real ones was proposed. Studies of the influence of transient processes on the quality of switching of traction electric motors taking into account operating conditions are carried out. Based on the results of the study, the analysis of the data obtained is carried out, and a criterion for estimating the switching stability of traction electric motors in transient operation modes is proposed. The proposed criterion allows carrying out quality control of the tuning of the magnetic system and switching of the traction electric motor, and also estimating the nature of its operation in various modes, taking into account the operating conditions.

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Increasing the operating speed of electric rolling stock by providing smooth regulation of the excitation current of the traction electric motors

Modern technologies System analysis Modeling ◽

10.26731/1813-9108.2020.3(67).166-172 ◽

2020 ◽

Keyword(s):

Rolling Stock ◽

Operating Speed ◽

Electric Motors ◽

Excitation Current ◽

Electric Rolling Stock

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Influence of smooth and step-by-step regulation of excitation attenuation of traction electric motors of electric locomotives on the speed of movement of electric rolling stock

Herald of the Ural State University of Railway Transport ◽

10.20291/2079-0392-2021-2-99-105 ◽

2021 ◽

pp. 99-105

Author(s):

T. V. Volchek ◽

Keyword(s):

Graphical Method ◽

Rolling Stock ◽

Electric Motors ◽

Electric Locomotive ◽

Excitation Current ◽

Railway Network ◽

Control Zone ◽

Software Complex ◽

Electric Rolling Stock ◽

Train Speed

ter reaching the maximum voltage at the 4th control zone of the rectifier-inverter converter of an AC electric locomotive, a further increase in speed is achieved by connecting the field attenuation system (FA) of traction electric motors (TEM). All domestic electric locomotives use the FA TEM system of the inductively active type with step switching. However, it has drawbacks, one of them is that step switching causes speed losses and slows down the acceleration of electric rolling stock (ERS). By 2025, the goal is to increase the speed of freight trains, which will increase freight turnover on the railway network [1]. One solution is to improve the ERS. In this regard, it is proposed to improve the standard FA TEM system of an electric locomotive by using IGBT transistors, which allow smooth regulation of the excitation current. In the article, using the graphical method of the RM, a curve of the train speed is constructed, which proves that the smooth control of the electric locomotive FA TEM allows you to quickly reach the maximum permissible speed of the electric locomotive on the section and to move at a higher speed in the ascent than with step-by-step regulation. The simulation of the 3ES5K series electric locomotive in the «Cortes» software complex on the Winter - Irkutsk-Sortirovochny section was also carried out, which proved that with the smooth regulation of the FA TEM, the technical speed of the ERS increases by at least 2,5 km/h.

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Simulation of an ac electric locomotive operation in the regenerative braking mode

Herald of the Ural State University of Railway Transport ◽

10.20291/2079-0392-2021-2-106-114 ◽

2021 ◽

pp. 106-114

Author(s):

V. S. Tomilov ◽

Keyword(s):

Mathematical Modeling ◽

Energy Savings ◽

Rolling Stock ◽

Regenerative Braking ◽

Contact Network ◽

Electric Motors ◽

Electric Locomotive ◽

Power Circuit ◽

Electric Rolling Stock ◽

Train Speed

Regenerative braking is one of the most important energy-saving resources on electric rolling stock (EPS) of railways and feasibility of its use is confirmed by a rich half-century history. The development of the recovery mode begins with the release of the experimental AC electric locomotive of the VL61 series № 012 and continues with the release of the modern series of electric locomotives 2 (3, 4) ES5K and EP1v/i. The use of recuperation allows you to achieve significant energy savings, to ensure the safety of driving heavy trains on the track profile with long descents. In the regenerative braking mode, the EPS has rigid braking characteristics, ensuring maintenance of constant train speed, increasing the technical speed of the train and capacity of the railway section. This article presents the results of mathematical modeling of operation of an AC electric locomotive in the regenerative braking mode using a standard rectifier-inverter converter (RIC) and presence of ballast resistor blocks (BRB) in the power circuit, and using a promising RIC based on IGBT transistors, for which a method for implementing regenerative braking on AC electric locomotives without the use of BRB in the anchor circuit of traction electric motors is developed, with the help of which it is possible to increase the amount of electricity given to the contact network, as well as to expand the area of braking characteristics of the electric locomotive.

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Neural networks within the systems of converter control of electric rolling stock

Bulletin of scientific research results ◽

10.20295/2223-9987-2016-1-57-66 ◽

2016 ◽

pp. 57-66

Author(s):

Timofey Kochkar ◽

Aleksandr Maznev

Keyword(s):

Neural Networks ◽

Frequency Control ◽

Practical Importance ◽

Comparison Method ◽

Structure Design ◽

Rolling Stock ◽

Electric Rolling Stock ◽

Asynchronous Traction Motor ◽

Moment Control ◽

Network Technologies

Objective: To improve the performance and accuracy of the system of voltage and frequency control for asynchronous traction motor (ATD) of rolling stock. Methods: To estimate the influence of artificial neural networks (INS) implementation to ATD control systems on the control indexes the comparison method was used. Results: The paper examines the possibility of INS implementation within the systems of direct control of traction electric motor moment. It also suggests a method of INS implementation as a ATD flow monitor. It provides the options of implementation and indicates the features of monitor structure design. Practical importance: Integration of the method of direct moment control and using of neural network technologies allows to improve the structure of converters and to improve the accuracy and the performance of output parameters, that, in its turn, decreases the power consumption, as well as losses in traction converters.

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