Evidence map›Paper›PMID 28106718›Full record

ArticleSensors (Basel, Switzerland)2017

An Improved High-Sensitivity Airborne Transient Electromagnetic Sensor for Deep Penetration.

Shudong Chen, Shuxu Guo, Haofeng Wang, Miao He, Xiaoyan Liu, Yu Qiu, Shuang Zhang, Zhiwen Yuan, Haiyang Zhang, Dong Fang and 1 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Shudong ChenCollege of Electronic Science and Engineering, Jilin University, Changchun 130012, China. chenshudong@jlu.edu.cn.
Shuxu GuoCollege of Electronic Science and Engineering, Jilin University, Changchun 130012, China. guosx@jlu.edu.cn.
Haofeng WangCollege of Electronic Science and Engineering, Jilin University, Changchun 130012, China. whf@jlu.edu.cn.
Miao HeCollege of Electronic Science and Engineering, Jilin University, Changchun 130012, China. evergreen92@163.com.
Xiaoyan LiuCollege of Electronic Science and Engineering, Jilin University, Changchun 130012, China. 18204319478@163.com.
Yu QiuCollege of Electronic Science and Engineering, Jilin University, Changchun 130012, China. 18443143119@163.com.
Shuang ZhangCollege of Electronic Science and Engineering, Jilin University, Changchun 130012, China. zhangshuang@jlu.edu.cn.
Zhiwen YuanScience and Technology on Near-Surface Detection Laboratory, Wuxi 214035, China. yuanzw2008@126.com.
Haiyang ZhangScience and Technology on Near-Surface Detection Laboratory, Wuxi 214035, China. zhyzhyzhy001@126.com.
Dong FangScience and Technology on Near-Surface Detection Laboratory, Wuxi 214035, China. csdfangdong@163.com.
Jun ZhuScience and Technology on Near-Surface Detection Laboratory, Wuxi 214035, China. harry_zhu@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The investigation depth of transient electromagnetic sensors can be effectively increased by reducing the system noise, which is mainly composed of sensor internal noise, electromagnetic interference (EMI), and environmental noise, etc. A high-sensitivity airborne transient electromagnetic (AEM) sensor with low sensor internal noise and good shielding effectiveness is of great importance for deep penetration. In this article, the design and optimization of such an AEM sensor is described in detail. To reduce sensor internal noise, a noise model with both a damping resistor and a preamplifier is established and analyzed. The results indicate that a sensor with a large diameter, low resonant frequency, and low sampling rate will have lower sensor internal noise. To improve the electromagnetic compatibility of the sensor, an electromagnetic shielding model for a central-tapped coil is established and discussed in detail. Previous studies have shown that unclosed shields with multiple layers and center grounding can effectively suppress EMI and eddy currents. According to these studies, an improved differential AEM sensor is constructed with a diameter, resultant effective area, resonant frequency, and normalized equivalent input noise of 1.1 m, 114 m², 35.6 kHz, and 13.3 nV/m², respectively. The accuracy of the noise model and the shielding effectiveness of the sensor have been verified experimentally. The results show a good agreement between calculated and measured results for the sensor internal noise. Additionally, over 20 dB shielding effectiveness is achieved in a complex electromagnetic environment. All of these results show a great improvement in sensor internal noise and shielding effectiveness.

Indexed as

deep penetrationEMC designsensor internal noisetransient electromagnetic sensor

Identifiers

PMID28106718
PMCPMC5298742

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.