Open AccessExperimental research on coil turns to double coil multi‐parameter impedance sensor
Author(s) -
Zhao Xupeng,
Zhang Hongpeng,
Zeng Lin,
Yu Zilei,
Bai Chenzhao
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.9215
Subject(s) - electromagnetic coil , capacitive sensing , electrical impedance , inductance , inductive sensor , acoustics , capacitance , noise (video) , detection theory , rogowski coil , search coil , signal (programming language) , coil noise , coil tap , materials science , physics , electrical engineering , computer science , engineering , optics , magnetic field , magnetic flux , voltage , electrode , quantum mechanics , artificial intelligence , detector , image (mathematics) , programming language
In this study, the detection principle of the dual‐coil multi‐parameter impedance detection sensor is introduced, and the influence of the number of coil turns on the experimental results is studied. The author produces a series of dual‐coil multi‐parameter impedance detection sensors and builds an experimental detection platform. The test parameters are compared and analysed under different coil turns. The experimental results show that for the detection of inductive or capacitive parameters of the same pollutant detection particle, the amplitude of the inductance or capacitance parameter increases with the increase of the number of turns of the coil, and the signal‐to‐noise ratio also increases with the increase of the number of turns of the coil. Therefore, increasing the number of turns in the micro‐plane coil helps improve the detection accuracy and signal‐to‐noise ratio of the impedance sensor. The results of the study show that the dual‐coil multi‐parameter impedance detection sensor can realise the identification and detection of pollutant particles, and it has certain practical significance for the new multi‐parameter on‐line oil differential detection.