A method for data conversion of exposure level testers using sinusoidal alternating magnetic fields

Flux density measurements provide valuable information on the state of electrical appliances, which can be utilised for improving the safety and the performance of the associated system. Exposure level testers with a B-field probe are widely used for flux density measurements but they can only perform a time-domain measurement and display it as output voltage related to flux density. In other words, they cannot output flux density directly, which brings many inconveniences. These drawbacks can be improved using data conversion coefficients. However, the test frequencies of most exposure level testers are greater than 1 Hz. They are unable to calculate the data conversion coefficients using a constant magnetic field. This paper proposes a method for data conversion of exposure level testers using alternating magnetic fields to measure flux density directly: the flux density conversion model was established; the mathematical relationship between the mean value of the voltage signal output by the exposure level testers and its stable display value was deduced; and an experimental test of the conversion coefficients was carried out. The results show that the error between the value measured using the new technique and the display value of the exposure level tester at different frequencies is small. This method can trace the flux density in both the time and frequency domains through software processing algorithms without changing the exposure level tester itself. By applying sinusoidal magnetic fields and using the conversion factor, then existing testers can be used to measure flux density directly.

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Publication Details

Journal
Insight - Non-Destructive Testing and Condition Monitoring
Published
2024-11-01
DOI
https://doi.org/10.1784/insi.2024.66.11.661
Primary Topic
Non-Destructive Testing Techniques
Type
article
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article

A method for data conversion of exposure level testers using sinusoidal alternating magnetic fields

Baoqing Zeng, Xiaojun Wang, Jianbin Luo, Senming Zhong et al.
Insight - Non-Destructive Testing and Condition Monitoring
Non-Destructive Testing Techniques
article

A method for data conversion of exposure level testers using sinusoidal alternating magnetic fields

Baoqing Zeng, Xiaojun Wang, Jianbin Luo, Senming Zhong, Ping Yao
article en

Abstract

Flux density measurements provide valuable information on the state of electrical appliances, which can be utilised for improving the safety and the performance of the associated system. Exposure level testers with a B-field probe are widely used for flux density measurements but they can only perform a time-domain measurement and display it as output voltage related to flux density. In other words, they cannot output flux density directly, which brings many inconveniences. These drawbacks can be improved using data conversion coefficients. However, the test frequencies of most exposure level testers are greater than 1 Hz. They are unable to calculate the data conversion coefficients using a constant magnetic field. This paper proposes a method for data conversion of exposure level testers using alternating magnetic fields to measure flux density directly: the flux density conversion model was established; the mathematical relationship between the mean value of the voltage signal output by the exposure level testers and its stable display value was deduced; and an experimental test of the conversion coefficients was carried out. The results show that the error between the value measured using the new technique and the display value of the exposure level tester at different frequencies is small. This method can trace the flux density in both the time and frequency domains through software processing algorithms without changing the exposure level tester itself. By applying sinusoidal magnetic fields and using the conversion factor, then existing testers can be used to measure flux density directly.

Insight - Non-Destructive Testing and Condition MonitoringVol. 66(11)
South China Robotics Innovative Research Institute (CN), Guangdong Polytechnic Normal University (CN), State Key Laboratory of Environmental Adaptability for Industrial Products
Affordable and clean energy
Openalex Percentile: Top 80%
Non-Destructive Testing Techniques
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