Use of Park’s Vector Method for Monitoring the Rotor Condition of an Induction Motor as a Part of the Built-In Diagnostic System of Electric Drives of Transport

Oleg Gubarevych, Juraj Gerlici, Oleksandr Kravchenko (), Inna Melkonova and Olha Melnyk
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Oleg Gubarevych: Department of Electromechanics and Rolling Stock of Railways, Kyiv Institute of Railway Transport ofState University of Infrastructure and Technologies, 04071 Kyiv, Ukraine
Juraj Gerlici: Department of Transport and Handling Machines, Faculty of Mechanical Engineering, University of Zilina, 01026 Zilina, Slovakia
Oleksandr Kravchenko: Department of Transport and Handling Machines, Faculty of Mechanical Engineering, University of Zilina, 01026 Zilina, Slovakia
Inna Melkonova: Department of Electrical Engineering, Volodymyr Dahl East Ukrainian National University, 91000 Kyiv, Ukraine
Olha Melnyk: Department of Ship Power Units, Auxiliary Mechanisms of Ships and their Operation, Kyiv Institute of Water Transport of State University of Infrastructure and Technologies, 04071 Kyiv, Ukraine

Energies, 2023, vol. 16, issue 13, 1-14

Abstract: The article is devoted to the use of Park’s vector method for operational control of the rotor condition of induction motors of traction and auxiliary drives of railway rolling stock. In the course of the analysis, it was established that in order to increase the reliability and efficiency of the operation of vehicles, it is necessary to improve and implement diagnostic systems for monitoring the current state of the most damaged elements of induction electric motors built into the drive. This paper presents the development of a new approach to monitoring the state of a squirrel-cage rotor, which is based on the use of Park’s vector approach. In the course of the research, the issue of taking into account the asymmetric power supply of the engine during the diagnostic period during industrial operation was solved, which affects the accuracy of determining the degree of damage to the rotor. On the basis of the conducted research, the algorithm of the module for diagnosing the state of the squirrel-cage rotor of an induction motor has been developed for practical use in the built-in on-board systems of vehicles, which allows us to determine the degree of damage and monitor the development of the rotor defect during operation, including in automated mode.

Keywords: induction motor; fault detection; Park’s vector approach; rotor diagnostics; transport equipment monitoring; on-board diagnostic system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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