Email this article A synchronous electric engine rotor slip determination in the absence of a rotation speed sensor
- Authors: Gorodnichev M.G.1, Zhukov A.M.1, Valuyskikh A.O.1
-
Affiliations:
- Moscow Technical University of Communications and Informatics (MTUCI)
- Issue: Vol 12, No 4 (2025)
- Pages: 164-177
- Section: INFORMATICS AND INFORMATION PROCESSING
- URL: https://ogarev-online.ru/2313-223X/article/view/380197
- DOI: https://doi.org/10.33693/2313-223X-2025-12-4-164-177
- EDN: https://elibrary.ru/GJNFEV
- ID: 380197
Cite item
Open Access
Access granted
Subscription Access
Abstract
Rotor slip of the induction motor (IM) is one of the key indicators used in the analysis of the technical condition of the asynchronous motor and the detection of its defects. In practice, the presence of built-in tachometers as part of IM is extremely rare, and their additional installation is a complex and expensive procedure. The paper compares non-invasive methods for determining the slip frequency of the IM rotor by vibration acceleration spectra, current spectra, and by consumed active power at various motor loads. Effects of belt drive and methods of its tension (spring-loaded and fixed) on distortion of spectra of signals measured on the motor are determined. The obtained results showed good convergence of indirect methods for determining rotor slip frequency with tachometer readings. The method of determining slip by the consumed active power showed good accuracy, with minimal requirements for computing power.
About the authors
Mikhail G. Gorodnichev
Moscow Technical University of Communications and Informatics (MTUCI)
Author for correspondence.
Email: m.g.gorodnichev@mtuci.ru
ORCID iD: 0000-0003-1739-9831
SPIN-code: 4576-9642
Scopus Author ID: 55836031600
ResearcherId: D-3256-2019
Cand. Sci. (Eng.), Associate Professor, Dean, Faculty of Information Technology
Russian Federation, MoscowAlexander M. Zhukov
Moscow Technical University of Communications and Informatics (MTUCI)
Email: alex.ghukov@gmail.com
ORCID iD: 0009-0003-2914-0330
SPIN-code: 9787-8841
postgraduate student, Department of Mathematical Cybernetics and Information Technologies, Faculty of Information Technology
Russian Federation, MoscowAnton O. Valuyskikh
Moscow Technical University of Communications and Informatics (MTUCI)
Email: forevel@yandex.ru
ORCID iD: 0009-0003-5718-0815
Scopus Author ID: 53875408800
ResearcherId: PCR-8038-2025
postgraduate student, Department of Mathematical Cybernetics and Information Technologies, Faculty of Information Technology
Russian Federation, MoscowReferences
- Katsman M.M. Electric mashines. Moscow: Academy, 2013. 496 p.
- Kopylov I.P. Electric mashines. Moscow: Energoatomizdat, 1986.
- Kostenko M.P., Piotrowsky L.M. Electric machines. In 2 parts. Part 2: AC mashines. Ed. 3, rev. Leningrad: Energy, 1973.
- Safaryan V.S., Gevorgyan S.G. Ascertainment of the equivalent circuit parameters of the asynchronous machine. Bulletin of highest schools and power unities of SNG. Energy. 2015. No. 6. Pp. 20–34. (In Rus.)
- Sklyar A.V., Chizhma S.N. Comparative analisys of Induction Motor rotor speed by stator current spectrum. Journal of Transsib Railway Studies. 2016. No. 1 (25). Pp. 81–91. (In Rus.)
- Acosta G.G., Verucchi C.J., Gelso E.R. A current monitoring system for diagnosing electrical failures in induction motors. Mechanical Systems and Signal Processing. 2006. Vol. 20. No. 4. Pp. 953–965. doi: 10.1016/j.ymssp.2004.10.001.
- Deshalsa R. A Survey in progress and development of induction motors’ incipient fault detection techniques during last three decades. Journal of Research in Engineering and Applied Sciences. 2016. Vol. 1. No. 2.
- Drif M., Kim H., Kim J., Sang Bin Lee. Active and reactive power spectra-based detection and separation of rotor faults and low-frequency load torque oscillations. IEEE Transactions on Industry Applications. 2017. Vol. 53. No. 3. Pp. 2702–2710. doi: 10.1109/TIA.2016.2613508.
- Kumar S. et al. A comprehensive review of condition based prognostic maintenance (CBPM) for induction motor. IEEE Access. 2019. Vol. 7. Pp. 90690–90704. doi: 10.1109/ACCESS.2019.2926527.
- Merizalde Y., Hernandez-Callejo L., Duque-Perez O. State of the art and trends in the monitoring, detection and diagnosis of failures in electric induction motors. Energies. 2017. Vol 10. No. 7. P. 1056. doi: 10.3390/en10071056.
- Pachaud Ch. et al. Consequences of non-respect of the Bedrosian theorem when demodulating. In: Processing of the 10th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies CM 2013 – MFPT 2013 (Krakow, June 2013). Krakow, Poland. hal-00844834v2.
- Rassõlkin A. et al. A survey of broken rotor bar fault diagnostic methods of induction motor. Sciendo Electrical, Control and Communication Engineering. 2018. Vol. 14. No. 2. doi: 10.2478/ecce-2018-0014.
- Saravanan T.Y., Ponnambalam P. GWOPID-MRAS based speed estimation and speed control of sensor less induction motors. International Journal of Electrical and Electronics Research (IJEER). 2023. Vol. 11. No. 4. Pp. 1154–1161. doi: 10.37391/IJEER.110436.
Supplementary files
