Investigating the Influence of Time Variation on Electric Motor Vibration Characteristics

  • Rinaldi Rinaldi Universitas Lancang Kuning, Pekanbaru, Indonesia
  • Weriono Weriono Sekolah Tinggi Teknologi Pekanbaru, Indonesia
  • Hendri Hendri Universitas Lancang Kuning, Pekanbaru, Indonesia
DOI: http://dx.doi.org/10.36842/jomase.v69i2.537

Abstract

This research aims to analyze vibrations in a 1750 HP Westinghouse electric motor. The electric motors have an important role in the company's operations. Hence, the vibration analysis may crucial to carried out for optimal performance and prevent potential damage. In this research is to find out the vibrations that occur according to the permitted vibration standards and to find out the parts of the machine that have an influence in order to minimize the vibrations that occur. Vibration test was carried out using the vibration analyzer as a measuring instrument and temperature testing. The results of the vibration analysis was obtained the vibration values ??on the Drive-End and Non-Drive End sides were still moderate and suitable for operation. The highest vibration value occurred in the first 10-minute test in the Non-Drive End (NDE) vertical direction with an rms value of 0.083 inch/s.

##Keywords:## Vibration, Electric motor, Direct electric, Non direct electric.
Published
Jul 30, 2025
How to Cite
RINALDI, Rinaldi; WERIONO, Weriono; HENDRI, Hendri. Investigating the Influence of Time Variation on Electric Motor Vibration Characteristics. Journal of Ocean, Mechanical and Aerospace -science and engineering-, [S.l.], v. 69, n. 2, p. 163-167, july 2025. ISSN 2527-6085. Available at: <https://www.isomase.org/Journals/index.php/jomase/article/view/537>. Date accessed: 12 may 2026. doi: http://dx.doi.org/10.36842/jomase.v69i2.537.
Citation Formats
Issue
Vol 69 No 2 (2025): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Section
Articles

References

[1] Sanguesa, J.A., Torres-Sanz, V., Garrido, P., Martinez, F. J. & Marquez-Barja, J.M. (2021). A review on electric vehicles: Technologies and challenges. Smart Cities, 4(1), 372–404.
[2] Acharya, S., Dvorkin, Y., Pandži?, H. & Karri, R. (2020). Cybersecurity of smart electric vehicle charging: A power grid perspective. IEEE Access, 8, 214434–214453.
[3] Miri, I., Fotouhi, A. & Ewin, N. (2021). Electric vehicle energy consumption modelling and estimation-a case study. International Journal of Energy Research, 45(1), 501–520.
[4] Xiao, Y., Zhang, Y., Kaku, I., Kang, R. & Pan, X. (2021). Electric vehicle routing problem: A systematic review and a new comprehensive model with nonlinear energy recharging and consumption. Renewable and Sustainable Energy Reviews, 151, 111567.
[5] Wang, Z., Ching, T.W., Huang, S., Wang, H. & Xu, T. (2020). Challenges faced by electric vehicle motors and their solutions. IEEE Access, 9, 5228–5249.
[6] Min, H.G., Fang, Y.K., Wu, X., Lei, X.P., Chen, S.X., Teixeira, R., Zhu, B. & Zhao, X.M. (2023). A fault diagnosis framework for autonomous vehicles with sensor self-diagnosis. Expert Systems with Applications, 120002.
[7] Gao, Y., Doppelbauer, M., Ou, J. & Qu, R. (2021). Design of a double-side flux modulation permanent magnet machine for servo application. IEEE Journal of Emerging and Selected Topics in Power Electronics, 10(2), 1671–1682
[8] Liu, S., Song, Z., Dong, Z., Liu, Y., & Liu, C. (2022). Generic carrier-based PWM solution for series-end winding PMSM traction system with adaptative over modulation scheme. IEEE Transactions on Transportation Electrification, 9(1), 712-726.
[9] Liu, S., Limu, C. (2021). Direct harmonic current control scheme for dual three-phase PMSM drive system. IEEE Transactions on Power Electronics, 36(10), 11647–11657.
[10] Hu, J., Wu, Y., Li, T. & Ghosh, B.K. (2019). Consensus control of general linear multiagent systems with antagonistic interactions and communication noises. IEEE Transactions on Automatic Control, 64(5), 2122–2127
[11] Ehsani, M., Singh, K.V., Bansal, H.O. & Mehrjardi, R.T. (2021). State of the art and trends in electric and hybrid electric vehicles. Proceedings of the IEEE, 109(6), 967–984.
[12] Zhang, X., Lu, Z., Yuan, X., Wang, Y. & Shen, X. (2021). L2-gain adaptive robust control for hybrid energy storage system in electric vehicles. IEEE Transactions on Power Electronics, 36(6), 7319–7332.