Keywords
Radio Frequency Current Transformers (RFCT)
Rogowski Coils (RC)
high-voltage equipment monitoring частковий розряд
радіочастотні трансформатори струму (RFCT)
котушки Роговського (RC)
моніторинг високовольтного обладнання
How to Cite
Abstract
This paper presents a comparative study of the use of Radio Frequency Current Transformers (RFCT) and Rogowski Coils (RC) for partial discharge (PD) monitoring in high-voltage rotating equipment. The relevance of work lies in the need to enhance the accuracy and reliability of equipment diagnostics while maintaining its operational status during measurements. The authors focus on the technical aspects of both methods, analyzing sensitivity, accuracy and resistance to interference, ease of installation, and operational simplicity. The study demonstrates that RFCTs offer significant advantages, including from high sensitivity to low-amplitude signals, resilience to radio interference, and a wide frequency bandwidth. These features make RFCTs particularly effective for use in environments with intense external interference, such as radar signals at industrial sites. Moreover, RFCTs feature a design that simplifies installation and operation, reducing setup time and increasing cost-effectiveness. The analysis confirms the superior accuracy of RFCTs under real operating conditions, ensuring high-quality PD signal detection against noise, a capability difficult to achieve with RCs without additional filtering. The study highlights the potential of RFCTs for use in modern high-voltage equipment monitoring systems, offering a practical and economically efficient solution that improves power system reliability and helps prevent critical failures. References 16, figures 10, tables 2.
References
Thuc V.C., Lee H.S. Partial Discharge (PD) Signal Detection and Isolation on High Voltage Equipment Using Improved Complete EEMD Method. Energies. 2022. Vol. 15(16). Pp. 5819-5831. DOI: https://doi.org/10.3390/en15165819.
Jin T., Li Q., Mohamed M.A. A Novel Adaptive EEMD Method for Switchgear Partial Discharge Signal Denoising. IEEE Access. 2019. Vol. 7. Pp. 58139-58147. DOI: https://doi.org/10.1109/ACCESS.2019.2914064.
Kunicki M., Wotzka D. A Classification Method for Select Defects in Power Transformers Based on the Acoustic Signals. Sensors. 2019. Vol. 19. Pp. 5212-5222. DOI: https://doi.org/10.3390/s19235212.
Kou Z., Yang F., Wu J., Li T. Application of ICEEMDAN Energy Entropy and AFSA-SVM for Fault Diagnosis of Hoist Sheave Bearing. Entropy. 2020. Vol. 22. Pp. 1347-1360. DOI: https://doi.org/10.3390/e22121347.
Guanghai B., Xiaoqing G., Run J., Kai H. A Novel Differential High-Frequency Current Transformer Sensor for Series Arc Fault Detection. MDPI Sensors. 2019. Vol. 19(17). P. 3649. DOI: https://doi.org/10.3390/s19173649.
Nurubeyli T.K., Zeynalov J.I., Mammadova G.N., Imamverdiyev N.E. Improving Methods for Sample Preparation of Transformer Oils by ICP-MS. International Journal on Technical and Physical Problems of Engineering. 2024. Vol. 16. Issue 58. No 1. Pp. 21-26.
Huseynova A.G., Nurubeyli T.K., Mammadova G.N. İmpact of annealing temperature on electrical properties of polymer-based composites with CoFe2O4 nanoparticles. International Journal on Technical and Physical Problems of Engineering. 2024 Vol 16, Issue 61, Pp. 221–230.
Xiao C., Zhao L., Asada T., Odendaal W.G., van Wyk J.D.V. An overview of integratable current sensor technologies. Proc. 38th IAS Annual Meeting Industry Application Conference, Salt Lake City, USA, 12-16 October 2003. Vol. 2. Pp. 1251-1258. DOI: https://doi.org/10.1109/IAS.2003.1257710.
Fan J., Lee Y. Dynamic measurement of magnetic characteristics of switched reluctance motor. Electrical Engineering & Electromechanics. 2023. No 2. Pp. 3-6. DOI: https://doi.org/10.20998/2074-272X.2023.2.01.
Nurubeyli T.K., Hashimov A.M., Nurubeyli Z.K., Nuriyev K.Z., Ahmadova Kh.N., Hasanova S.I. Improvement of treatment methods in analysis of carbon mountain breeds by ICP-MS. International Journal on Technical and Physical Problems of Engineering. 2020. Vol. 12. Issue 44. No 3. Pp. 30–35. DOI: https://doi.org/10.1142/S0217984921500949
Zachariades C., Shuttleworth R., Giussani R., MacKinlay R. Optimization of a High Frequency Current Transformer sensor for Partial Discharge Detection using Finite Element Analysis. IEEE Sensors Journal. 2016. Vol. 16. No 20. Pp. 7526-7533. DOI: https://doi.org/10.1109/JSEN.2016.2600272.
Mohamed F.P., Siew W.H., Soraghan J.J., Strachan S.M., McWilliam J. The use of power frequency current transformers as partial discharge sensors for underground cables. IEEE Transactions on Dielectrics and Electrical Insulation. 2013. Vol. 20. Issue 3. Pp. 814-824. DOI: https://doi.org/10.1109/TDEI.2013.6518951.
Renforth L.A., Hamer P.S., Clark D., Goodfellow S., Tower R. Continuous Remote Online Partial Discharge Monitoring of HV Ex/ATEX Motors in the Oil and Gas. IEEE Transactions on Industry Application. 2015. Vol. 51. Issue 2. Pp. 1326-1332. DOI: https://doi.org/10.1109/tia.2014.2357576.
Harjo S. Partial Discharge in High Voltage Insulating Materials. International Journal on Electrical Engineering and Informatics. 2016. Vol. 8. No 1. Pp. 147-163. DOI: https://doi.org/10.15676/ijeei.2016.8.1.11.
Li W., Mao C., Lu J. Study of the virtual instrumentation applied to measure pulsed heavy currents., IEEE Transactions on Instrumentation and Measurement. 2005. Vol. 54. Issue 1. Pp. 284-288. DOI: https://doi.org/10.1109/TIM.2004.840230
Stavinskiy A.A., Tsyganov A.M. Design and technological proposals for improving a single-phase transformer with laminated magnetic core. Electrical Engineering & Electromechanics. 2020. No 6. Pp. 11–17. DOI: https://doi.org/10.20998/2074-272X.2020.6.02.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright (c) 2025 Array