Analysis of Electrical Machines’ State by Measuring the Interturn Resistance in Its Windings

Author:

Isaev A. V.1,Suchodolov U. V.1,Lyubinsky K. A.1,Golubovich A. I.1

Affiliation:

1. Belarusian National Technical University

Abstract

Diagnostic methods applied in the industry do not allow to control the state of electrical machines windings in working condition and to fix the defect formation in them at the early stages of development. The aim of the work was to develop a method and construct a device that allows measuring interturn resistances in the electrical machines’ windings without the need to remove it from the technological process, and thereby assess its current and future performance.A block diagram of a device for measuring of interturn resistances in the electrical machines’ windings has been developed, a method has been described, and an algorithm for carrying out diagnostic procedures has been developed. Also, as a result of the study, mathematical dependencies were determined that characterize the main operations performed by the device and a mathematical model was developed for obtaining of the interturn resistance value in the diagnosed windings from the value of the measured phase difference for the AIR63V4U3 asynchronous motor.The developed method and a device based on it allow measuring interturn resistances in the electrical machines’ windings without the need to remove it from the technological process and fix the beginning of defect formation, and, thereby, evaluate its current and future performance in real time. 

Publisher

Belarusian National Technical University

Subject

General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development

Reference13 articles.

1. Ivanov V.N. Analiz nadozhnosti tyagovykh elektricheskikh mashin elektrovozov, ekspluatiruyemykh na zheleznykh dorogakh vostochnogo regiona [Analysis of the reliability of traction electric machines of electric locomotives operated on the railways of the eastern region]. Technical articles from periodicals Regional Center for Innovative Technologies. [Electronic Resource]. Available at: https://rcit.su/article080.html

2. Gritli Y., Filippetti F., Casadei D. Diagnosis and Fault Detection in Electrical Machines and Drives based on Advanced Signal Processing Techniques. Department of Electrical, Electronic, and Information Engineering “Guglielmo Marconi”, Ph.D. in Electrical Engineering XXVI Cycle Power Electronics, Electrical Machines and Drives (ING-IND/32), 2014, 131 p.

3. Nuriddinov S., Avazov B., Hasanov F., Rakhmo-nova Y. Analysis of the causes of traction electric failures of electric cargo cars operated on railways of the Republic of Uzbekistan. E3S Web of Conferences, 2021, vol. 264, p. 05041. DOI: 10.1051/e3sconf/202126405041

4. Volchikhin V.I. Ispytaniya, ekspluatatsiya i remont elektricheskikh mashin [Testing, operation and repair of electrical machines]. Voronezh: Quarta Publ., 2004, 312 p.

5. Gutov I.A. Matematicheskiye modeli dlya prognozirovaniya tekhnicheskogo sostoyaniya izolyatsii elektrooborudovaniya [Mathematical models for predicting the technical condition of electrical equipment insulation], Polzunovsky Vestnik, 2009, no. 4.

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