Paper
18 April 2006 Noise reduction method for the multisensor system measuring DC current
Jing Wang, Yingsan Geng, Zhengxiang Song, Jianhua Wang
Author Affiliations +
Abstract
Multi-Sensor system has been proposed to measure electric current in a non-contact way. According to the Ampere's Law, the value of the current flowing in a conductor can be obtained through processing the outputs of the magnetic sensors around the conductor. As the discrete form of the Ampere's Law is applied, measurement noises are introduced when there exists the interference magnetic field induced by nearby current flowing conductors. In this paper, the measurement noises of the multi-sensor system measuring DC current are examined to reveal the impact of the interference magnetic field and the number of the magnetic sensors on the measurement accuracy. A noise reduction method based on Kalman filtering is presented. Computer simulation and experiment results show that the method greatly improves the accuracy without seriously increasing the computation load in comparison with other approaches.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jing Wang, Yingsan Geng, Zhengxiang Song, and Jianhua Wang "Noise reduction method for the multisensor system measuring DC current", Proc. SPIE 6242, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006, 62420N (18 April 2006); https://doi.org/10.1117/12.665234
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KEYWORDS
Magnetic sensors

Magnetism

Filtering (signal processing)

Electronic filtering

Denoising

Sensors

Sensor networks

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