Autors: Mateev, V. M., Ralchev, M. L., Marinova, I. Y.
Title: Current sensor accuracy enhancement by harmonic spectrum analysis
Keywords: Data processing methods, Fast-Fourier transform algorithm, F

Abstract: Here is presented a data processing method for current sensor output signal analysis based on frequency harmonics content. Hall Effect sensors measurement setup is used for data acquisition. Measured data have been processed by fast Fourier transformation algorithm in order to decompose frequency content of sensor output signal. Harmonic spectrum could be used for sensor accuracy enhancement where magnetic core saturation is distinguished by real frequency content of primary current

References

  1. (2018) Solid State Sensors Linear Current Sensors Honeywell Inc. cs Series
  2. Zhou, Y., Priya, S., 2015, Magnetoelectric current sensor, Composite Magnetoelectrics: Materials, Structures, and Applications, Volume Composite Magnetoelectrics: Materials, Structures, and Applications, pp. pp. 209-240
  3. Cholakova, I.N., Takov, T.B., Tsankov, R.Ts., Simonne, N., 2012, Temperature influence on Hall effect sensors characteristics, 20th Telecommunications Forum, TELFOR 2012 - Proceedings, Volume 20th Telecommunications Forum, TELFOR 2012, pp. pp. 967-970
  4. Krishna, A., Abraham, L., 2014, Analysis of different hall effect current sensors for space applications, International Journal of Innovative Science, Engineering & Technology, Volume 1(5), pp. pp. 380-386
  5. Roumenin, Ch., Nikolov, D., Lozanova, S., Ivanov, A., Dimitrov, K., 2017, Double-hall sensor with reduced offset and temperature drift, Barcelona, 2017, <Proceedings Of the Eurosensors Xix Conference>, Eurosensors XIX Conference
  6. MathWorks, Inc, 2018, Matworks Matlab Users Guide, MathWorks, Inc., <https://www.mathworks.com/support.html?s_tid=gn_supp>, Дата на последен преглед (Last accessed on): 03.12.2019
  7. Megger Ltd, 2017, Freja-549 Relay Test System, Freja, <https://bg.megger.com/>, Дата на последен преглед (Last accessed on): 03.12.2019

Issue

13th International Conference on Sensing Technology,Proceedings of the International Conference on Sensing Technology, ICST, vol. ICST 2019, issue 13, pp. Article number 9047692, 2019, Australia, IEEE Computer Society, DOI 10.1109/ICST46873.2019.9047692

Copyright IEEE

Цитирания (Citation/s):
1. DOI: 10.3390/s20236935 - 2020 - в издания, индексирани в Scopus или Web of Science
2. Kang, L., Zhang, J., Zhou, H., Zhao, Z., Duan, X., Model predictive current control with fixed switching frequency and dead-time compensation for single-phase PWM rectifier, (2021) Electronics (Switzerland), 10 (4), art. no. 426, pp. 1-21. DOI: 10.3390/electronics10040426 - 2021 - в издания, индексирани в Scopus или Web of Science
3. Ranasingh, Soumyaranjan, Tapan Pradhan, and Koteswara Raju Dhenuvakonda. "Calibration and frequency estimation in sensors for electrical parameter measurement using regression and metaheuristic based models." 2022, Journal of Expert Systems: e13208. https://doi.org/10.1111/exsy.13208 - 2022 - в издания, индексирани в Scopus или Web of Science
4. Ranasingh, S., Pradhan, T., & Dhenuvakonda, K. R. (2023). Calibration and frequency estimation in sensors for electrical parameter measurement using regression and metaheuristic based models. Expert Systems, 40(3), e13208. - 2023 - в издания, индексирани в Scopus или Web of Science
5. Stano, E.; Kaczmarek, P.; Kaczmarek, M. Evaluation of the Optional Wideband Accuracy of Inductive Current Transformers in Accordance with the Standard IEC 61869-1 Ed.2. Energies 2023, 16, 7206. https://doi.org/10.3390/en16207206 - 2023 - в издания, индексирани в Scopus или Web of Science

Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus