Thermal imaging control of electrical equipment of industrial enterprises

RELEVANCE. Thermal imaging control is used to monitor the technical condition of electrical equipment, as well as contacts and contact connections of switching devices, which allows to increase the efficiency of work.
OBJECT. Timely detection of defects of contacts and contact connections of low-voltage switching devices to prevent emergencies.
METHODS. Determination and control of technical condition of electrical equipment, contacts and contact connections of apparatuses in real time by means of indicators and thermal imaging control.
RESULTS. The values of contact heating temperatures from material and type of contact connections were analysed. The criteria for estimation of the state of contacts of switching devices with the help of indicators of their state have been determined. The optimum values of loading coefficients of the circuit breaker in moulded case VA04 and contactors KMI and KTI are obtained. Emergency cases at the industrial object are shown, which prove the necessity of application of indicators and thermal imaging control as one of the tools of automation of technical condition control of low-voltage electrical equipment.
CONCLUSIONS. The offered noncontact method of estimation and control of technical condition of electrical equipment, contacts and contact connections of devices in real time with the help of indicators and thermal imaging control allows both to receive data in real time mode and to increase inter-repair periods for power equipment and to increase reliability of operation of the whole system.

1. Zaripova A.D., Zaripov D.K., Usachev A.E. Criteria for equipment defects for thermal power substation control system. Power engineering: research, equipment, technology. 2017;19(5-6):51-57. (In Russ.) https://doi.org/10.30724/1998-9903-2017-19-5-6-51-57.

2. L'vov M.YU., Nikitina S.D., Lesiv A.V. Methodological principles of monitoring the condition of contacts and contact connections during the operation of electrical equipment using thermal indicators. Electrical stations. 2023. n. 2, pp. 44-51. (In Russ.) doi:http://dx.doi.org/10.34831/EP.2023.1099.2.008.

3. 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.)

4. Mamontov A. N., Rychkov A. V., Astanin S. S. Thermal imaging control of current and voltage transformers. News of higher educational institutions of the Chernozem region. 2016. No. 4 (46). pp. 9-18. (In Russ.)

5. Fedotov A. I., Gracheva E. I., Naumov O. V. Assessment of the technical condition of contact connections of low-voltage switching devices according to thermal imaging control data. Proceedings of the higher educational institutions. ENERGY SECTOR PROBLEMS. 2005. № 9-10. pp. 47-55. (In Russ.)

6. Shpiganovich A. N., Mamontov A. N., Boychevsky A. V. Thermal Control of Capacitors and High Frequency Restrainers. Bulletin of Tambov State Technical University. 2020. vol. 26, no. 4, pp. 555-563. (In Russ.) DOI: 10.17277/vestnik.2020.04.pp.555-563.

7. Shpiganovich A. N., Mamontov A. N. Thermal control of disconnectors. News of Tula State University. Technical science. 2021. №3. pp. 74-79. (In Russ.) DOI: 10.24412/2071-6168-2021-3-74-79.

8. 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.

9. 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.

10. 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.

11. 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.

12. Pareek S., Sharma R., Maheshwari R. Application of artificial neural networks to monitor thermal condition of electrical equipment // 2017 3rd International Conference on Condition Assessment Techniques in Electrical Systems (CATCON), Rupnagar, India, 2017, pp. 183-187, DOI: 10.1109/CATCON.2017.8280208.

13. Petrov A. R., Gracheva E. Ivanovna, Sinyukova T., Valtchev S., Miceli R., Rahman A. U. Simulation of the Functional Characteristics of Low-Voltage Switching Devices, Based on the Example of Automatic Circuit Breakers // 2023 International Conference on Clean Electrical Power (ICCEP), Terrasini, Italy, 2023, pp. 690-695, DOI: 10.1109/ICCEP57914.2023.10247405.

14. 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.

15. Zhu-Mao L., Qing L., Tao J., Yong-Xin L., Yu H., Yang B. Research on Thermal Fault Detection Technology of Power Equipment based on Infrared Image Analysis // 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), Chongqing, China, 2018, pp. 2567-2571, DOI: 10.1109/IAEAC.2018.8577908.