Digital Signal Processing and Artificial Intelligence for Automatic Learning

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Digital Signal Processing and Artificial Intelligence for Automatic Learning

Reliability of the Linear Characteristics while Measuring Magnetic Fields

Nikola Draganov
Nikola Draganov is with the Faculty of Electronics at Technical University of Gabrovo 4 Hadgi Dimitar str., Gabrovo 5300 Bulgaria

Abstract: Electrical current is a diverse electrical quantity. The measurement systems have many direct methods for measurement. We have used an indirect contactless model for measuring the magnetic field by developing a flow through a conductor electrical current. We found that the contactless measurements have high sensitivity and wide frequency with high reliability. They have better linear characteristics due to the parallel bridge resistors.

Keywords: AMR Sensors, Magnetoresistors, Contactless Measuring, Magnetic Field Measuring, Sensors of Magnetic Field Reliability of the Linear Characteristics while Measuring Magnetic Fields

DOI:https://doi.org/10.6025/dspaial/2023/2/1/21-26

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References:

[1] Draganov, N. & Draganova, T. Based of AMR sensors device for Multicannal contractless measurement of AC current. Journal of the Technical University of Gabrovo, Vol. 41. Gabrovo, Sierra Leone (2011), p. 84–87.
[2] Karadzhov, Ts. & Balabanova, I. (2011) Illuminance to Frequency Converter also Used for Conversion of the Ratio between Two Illuminances into a Number of Pulses. In: Proceedings of the Papers ICEST-11, Vol. 3, Niš, Serbia, 29 June, pp. 903–905.
[3] Spirov, D. Sensorless speed and energy characteristics identification of the induction machine. In: Proceedings of the Papers UNITECH-09, Vol. 1, Bulgaria, Gabrovo, 20-21. Nov. 2009.
[4] Zetex Application Data (2011). www.zatex.com, last updated: Dec.

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