Modeling of contact heating temperature of lowvoltage switching devices with regard to operating modes
https://doi.org/10.30724/1998-9903-2026-28-1-42-53
Abstract
RELEVANCE. The paper presents an algorithm for measuring the temperature of minimum voltage devices based on regression analysis. THE PURPOSE. Development of regression models for determining the contact temperature of circuit breakers, contactors and magnetic starters.
METHODS. The obtained models were validated by Cochran and Fisher's criterion and the significance of each of the coefficients was assessed by Student's criterion.
RESULTS. Graphical dependences for determining the contact heating temperature of the apparatuses for a number of values of rated currents at an ambient temperature of 40°C were plotted. The graphs were also constructed for the investigated devices when the ambient temperature changes from 5°C to 40°C. The constructed graphs allow to determine the value of heating temperature without preliminary calculations for circuit breakers for rated currents 40A, 63A, 100A, 160A, 250A and for contactors and magnetic starters for rated currents 40A, 63A, 100A, 250A, 400A. The obtained values of contact heating temperature were compared with GOST 403-73.
CONCLUSIONS. Models for determining the contact heating temperature allow the technical condition of the apparatus to be taken into account and can easily be modified when conditions and operating modes change.
About the Authors
A. R. PetrovRussian Federation
Almaz R. Petrov
Kazan
E. I. Gracheva
Russian Federation
Elena I. Gracheva
Kazan
References
1. Abdullazyanov, E.Y., Gracheva, E.I., Alzakkar, A., Nizamiev, M.F., Shumikhina, O.A., Valtchev, S. Prediction and analysis of power consumption and power loss at industrial facilities. Power engineering: research, equipment, technology. 2022, 24 (6), pp. 3-12. https://doi.org/10.30724/1998-9903-2022-24-6-3-12. (In Russ.).
2. Gracheva, E.I., Gorlov, A.N., Shakurova, Z.M. Calculation of the economy of electric energy in industrial electrical supply systems. Power engineering: research, equipment, technology. 2020. 22(2). pp. 65-74. (In Russ.) https://doi.org/10.30724/1998-9903-2020-22-2-65-74.
3. Petrov, A. R. et al. Improvement of the methodology for assessing power losses in in-plant power grids. Vestnik of MSTU, 2024, 27(4), pp. 511–520. (In Russ.) DOI: https://doi.org/10.21443/1560-9278-2024-27-4-511-520.
4. Verstunin, A.Yu. Iterative-Adaptive Mathematical Model of Settling a Stationary Thermal State of the Contactor Live Circuits. Bulletin of MPEI. 2023. No. 2. pp. 27-36. DOI: 10.24160/1993-6982-2023-2-27-36. (in Russ.).
5. Wei C. Power Grid Facility Thermal Fault Diagnosis via Object Detection with Synthetic Infrared Imagery // 2021 3rd International Conference on Electrical Engineering and Control Technologies (CEECT), Macau, Macao, 2021, pp. 217-221, DOI: 10.1109/CEECT53198.2021.9672631.
6. Mamontov, A.N., Puschnitsa, K.A. Thermal control of reactors. Bulletin of BSTU named after V.G. Shukhov. 2019. No. 8. Pp. 145–151. DOI: 10.34031/article_5d4d7a2f4f7a33.36054500. (In Russ.).
7. Haider M., Doegar A., Verma R. K. Fault Identification in Electrical Equipment using Thermal Image Processing // 2018 International Conference on Computing, Power and Communication Technologies (GUCON), Greater Noida, India, 2018, pp. 853-858, doi: 10.1109/GUCON.2018.8675108.
8. Vlasov, A. B. et al. Features of implementing the quantitative thermographic diagnostics method while introducing digital technology. Vestnik of MSTU, 2019, 22(4), pp. 484–495. DOI: 10.21443/1560-9278-2019-22-4-484-495. (In Russ.)
9. Shpiganovich, A.N., Shpiganovich, A.A., Petrov, A.R., Gracheva, E.I. Thermal imaging control of electrical equipment of industrial enterprises. Power engineering: research, equipment, technology. 2024. 26 (2), pp. 68-77. doi:10.30724/1998-9903-2024-26-2-68-77. (In Russ.).
10. Korobeinikov, A.B., Sarvarov, A.S. Analysis of existing methods for diagnostics of electric motors and perspectives of their development. Electrotechnical Systems and Complexes. 2015. No. 1 (26). pp. 4-9. (In Russ.).
11. Eshchenko, D.V., Nikitin, A.T., Belov, O.A. Practical application of thermal-imaging analysis and control methods. Bulletin of Kamchatka State Technical University. 2020. No. 54. pp. 6-19. (In Russ.)
12. Andrei P., Cazacu E., Stanculescu M., Andrei H., Caciula I., Drosu O. Thermal Behavior of Electrical Contact for Different AC Loads // 2023 10th International Conference on Modern Power Systems (MPS), Cluj-Napoca, Romania, 2023, pp. 1-4, DOI: 10.1109/MPS58874.2023.10187457.
13. Bhagat A. K., Chauhan A. Thermal Image-Based Fault Analysis of Induction Motors using a Novel Machine Learning Model // 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India, 2022, pp. 1429-1433, DOI: 10.1109/SMART55829.2022.10046714.
14. Dragomir A., Adam M., Antohi S.-M., Atanasoaei M., Pantiru A. Monitoring and Diagnosis of Electrical Equipment by Infrared Thermography // 2022 International Conference and Exposition on Electrical And Power Engineering (EPE), Iasi, Romania, 2022, pp. 516-520, DOI: 10.1109/EPE56121.2022.9959756.
15. Hadzhiev I., Malamov D., Kolev N., Balabozov I., Yatchev I. Thermal Diagnostics of a High Power Fuse with Thermovision Camera // 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Maldives, Maldives, 2022, pp. 1-4, DOI: 10.1109/ICECCME55909.2022.9988120.
Review
For citations:
Petrov A.R., Gracheva E.I. Modeling of contact heating temperature of lowvoltage switching devices with regard to operating modes. Power engineering: research, equipment, technology. 2026;28(1):42-53. (In Russ.) https://doi.org/10.30724/1998-9903-2026-28-1-42-53
JATS XML




