Slip and Thermal Response in a 1 HP Three-Phase Motor Under Progressive Mechanical Load at 220 V
DOI:
https://doi.org/10.61236/wa0vty13Keywords:
Electrical machines, three-phase induction motorsthree-phase induction motors, slip, heat transfer, thermal regimeAbstract
This study examined the slip and thermal response of a 1 hp, 12-lead, three-phase induction motor operated at 220 V and subjected to a progressive mechanical loading program. The experimental test was designed in five stages, ranging from no-load operation to operation near the rated current, with each stage lasting 120 min and rotational speed and surface temperature of the motor housing recorded every 10 min. Slip was calculated from the measured speed, while housing temperature was used as an indicator of the motor’s thermal evolution. The results showed that, as the applied load increased, the average current progressively increased, rotational speed decreased, slip increased, and temperature rose steadily. Within the experimental range analyzed, slip allowed the operating conditions to be distinguished more clearly than average speed considered in isolation, whereas temperature exhibited a progressive and cumulative response dependent on load level and exposure time. Overall, the results showed a consistent relationship between changes in the motor’s mechanical operating state and its thermal evolution, confirming the usefulness of jointly analyzing both variables for the operational characterization of three-phase induction motors under progressive loading
Downloads
References
[1] Stephen J. Chapman, Electric Machinery Fundamentals, 5th ed. McGraw-Hill, 2012.
[2] A. S. Maliuk, Z. Ahmad, and J. M. Kim, “A Technique for Bearing Fault Diagnosis Using Novel Wavelet Packet Transform-Based Signal Representation and Informative Factor LDA,” Machines, vol. 11, no. 12, Dec. 2023, doi: 10.3390/machines11121080.
[3] A. E. . Fitzgerald, Charles. Kingsley, and S. D. . Umans, Electric machinery. McGraw-Hill, 2003.
[4] G. K. Balakrishnan et al., “A Review of Infrared Thermography for Condition-Based Monitoring in Electrical Energy: Applications and Recommendations,” Aug. 01, 2022, MDPI. doi: 10.3390/en15166000.
[5] A. K. Goel and V. N. A. Naikan, “Exploring the Diagnostic Potential of Infrared Thermography for Experimental Assessment of Cavitation and Air Entrainment-induced Faults in Centrifugal Pumps,” Journal of Applied Fluid Mechanics, vol. 17, no. 2, pp. 352–369, 2024, doi: 10.47176/jafm.17.02.2118.
[6] S. Roldan, D. Sanchez-Londono, and G. Barbieri, “Thermographic indicators for the state assessment of rolling bearings,” in IFAC-PapersOnLine, Elsevier B.V., 2021, pp. 1218–1223. doi: 10.1016/j.ifacol.2021.08.208.
[7] V. I. Vlachou et al., “Intelligent Fault Diagnosis of Ball Bearing Induction Motors for Predictive Maintenance Industrial Applications,” Machines, vol. 13, no. 10, Oct. 2025, doi: 10.3390/machines13100902.
[8] J. I. Z. Chen and C. S. Pi, “Assessment for Different Neural Networks with FeatureSelection in Classification Issue,” Sensors, vol. 22, no. 8, Apr. 2022, doi: 10.3390/s22083099.
[9] C. Yang, S. Zhang, Y. Wang, H. Qiu, and H. Zhao, “Inter-turn short-circuit fault diagnosis of high-voltage line-start permanent magnet synchronous motor based on improved wavelet packet energy analysis,” Archives of Electrical Engineering, vol. 74, no. 4, pp. 885–898, 2025, doi: 10.24425/aee.2025.155961.
[10] T. Raj Chelliah, N. Kumar, and S. Srivastava, Dynamic Performance Improvement of Induction Motor Under Energy Optimal Control.
[11] I. Ghlib, Y. Messlem, and Z. Chedjara, “An Improved Sensorless Control of Induction Motor Using ADALINE: Theory and Experiment,” Journal Europeen des Systemes Automatises, vol. 55, no. 2, pp. 221–227, Apr. 2022, doi: 10.18280/jesa.550209.
[12] J. A. Malagoli, J. H. I. Ferreira, J. R. Camacho, and M. V. Ferreira da Luz, “Optimal volume and slip of a three phase induction motor using differential evolution,” Renewable Energy and Power Quality Journal, vol. 1, no. 13, pp. 391–395, Apr. 2015, doi: 10.24084/repqj13.336.
[13] R. N. Toma and J. M. Kim, “Article bearing fault classification of induction motors using discrete wavelet transform and ensemble machine learning algorithms,” Applied Sciences (Switzerland), vol. 10, no. 15, Aug. 2020, doi: 10.3390/APP10155251.
[14] H. Ashfaq, M. Saood, and M. S. J. Asghar, “A new formulation for minimum input volt-ampere (VA)-slip relationship of three-phase induction motors,” Journal of King Saud University - Engineering Sciences, vol. 29, no. 3, pp. 253–256, Jul. 2017, doi: 10.1016/j.jksues.2015.10.002.
[15] Austin Hughes, Electric Motors and Drives: Fundamentals, Types and Applications, 3th ed. Newnes, 2006.
[16] T. Wildi, “Instructor’s Manual to accompany Electrical Machines, Drives and Power Systems Sixth Edition.”
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Ciencias de la Ingeniería y Aplicadas

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The authors who publish in this journal agree to the following terms:
- Creative Commons Attribution-NonCommercial License allows others to share the work with acknowledgment of authorship of the work and initial publication in this journal.
- Authors may separately establish additional agreements for the non-exclusive distribution of the version of the work published in the journal (for example, placing it in an institutional repository or publishing it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to disseminate their work electronically (for example, in institutional repositories or on their own website) before and during the submission process, as it can lead to productive exchanges, as well as further citation. earliest and largest of published works (See The Effect of Open Access) (in English).



