Denis Zubenko, Alexander Petrenko, Sergii Dulfan


The study of the temperature field of the engine for non-stationary modes is done. A numerical simulation of a non-stationary thermal process using dynamic EHD, the characteristic of the rate of rise of temperatures is done. An increase in the temperature of individual parts in the idle interval, when the power of heat release is significantly reduced, is established, and the reverse of the heat flow through the air gap is established. It is shown that the EHD method, in contrast to the FEM, is self-sufficient, which determines its practical value. In various parts of the speed control range in the implementation of various laws of regulation. At the same time, the main electrical, magnetic and additional losses associated with the fundamental voltage harmonics (FVH), and mechanical losses, as well as additional electrical and magnetic losses associated with the higher voltage harmonics, change. When using serial asynchronous engines as frequency-controlled. Permissible under the conditions of heating power is significantly reduced by the power of serial engines. Depending on the synchronous speed, the reduction is from 10 % to 20 %. Given the additional overheating due to higher voltage harmonics, as well as the deterioration of the cooling conditions when adjusting the rotational speed "down" from the nominal, it seems very relevant.


thermal control of an electric engine; equivalent e circuits of temperature processes in an electric engine

Full Text:



Henao, H., Capolino, G.-A., Fernandez-Cabanas, M., Filippetti, F., Bruzzese, C., Strangas, E. et. al. (2014). Trends in Fault Diagnosis for Electrical Machines: A Review of Diagnostic Techniques. IEEE Industrial Electronics Magazine, 8 (2), 31–42. doi:

Garcia-Ramirez, A. G., Morales-Hernandez, L. A., Osornio-Rios, R. A., Benitez-Rangel, J. P., Garcia-Perez, A., Romero-Troncoso, R. de J. (2014). Fault detection in induction motors and the impact on the kinematic chain through thermographic analysis. Electric Power Systems Research, 114, 1–9. doi:

Gaeid, K. S., Ping, H. W., Khalid, M., Salih, A. L. (2011). Fault diagnosis of induction motor using MCSA and FFT. Electr. Electron. Eng., 1 (2), 85–92.

Ciszewski, T., Gelman, L., Swędrowski, L. (2016). Current-based higher-order spectral covariance as a bearing diagnostic feature for induction motors. Insight – Non-Destructive Testing and Condition Monitoring, 58 (8), 431–434. doi:

Cunha Palácios, R. H., da Silva, I. N., Goedtel, A., Godoy, W. F. (2015). A comprehensive evaluation of intelligent classifiers for fault identification in three-phase induction motors. Electric Power Systems Research, 127, 249–258. doi:

Camarena-Martinez, D., Valtierra-Rodriguez, M., Amezquita-Sanchez, J. P., Granados-Lieberman, D., Romero-Troncoso, R. J., Garcia-Perez, A. (2016). Shannon Entropy and K-Means Method for Automatic Diagnosis of Broken Rotor Bars in Induction Motors Using Vibration Signals. Shock and Vibration, 2016, 1–10. doi:

Swetapadma, A., Yadav, A. (2016). Directional relaying using support vector machine for double circuit transmission lines including cross-country and inter-circuit faults. International Journal of Electrical Power & Energy Systems, 81, 254–264. doi:

Frigieri, E. P., Campos, P. H. S., Paiva, A. P., Balestrassi, P. P., Ferreira, J. R., Ynoguti, C. A. (2016). A mel-frequency cepstral coefficient-based approach for surface roughness diagnosis in hard turning using acoustic signals and gaussian mixture models. Applied Acoustics, 113, 230–237. doi:

Bowen, R. M., Sahin, F., Radomski, A. (2016). Systemic health evaluation of RF generators using Gaussian mixture models. Computers & Electrical Engineering, 53, 13–28. doi:

Valis, D., Pietrucha-Urbanik, K. (2014). Utilization of diffusion processes and fuzzy logic for vulnerability assessment. Eksploatacja i Niezawodnosc – Maintenance and Reliability, 16 (1), 48–55.

Jamróz, D., Niedoba, T. (2015). Application of Multidimensional Data Visualization by Means of Self-Organizing Kohonen Maps to Evaluate Classification Possibilities of Various Coal Types. Archives of Mining Sciences, 60 (1), 39–50. doi:



  • There are currently no refbacks.

Copyright (c) 2019 Denis Zubenko, Alexander Petrenko, Sergii Dulfan

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

ISSN 2461-4262 (Online), ISSN 2461-4254 (Print)