Evidence map›Paper›PMID 39000862›Full record

ArticleSensors (Basel, Switzerland)2024

Structural Design and Parameter Optimization of Magnetic Gradient Tensor Measurement System.

Gaigai Liu, Yingzi Zhang, Wenyi Liu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Gaigai LiuState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.ORCID 0000-0002-1795-3620
Yingzi ZhangState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.ORCID 0000-0002-8911-8595
Wenyi LiuState Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.

Funding

the Foundation of State Key Laboratory of Dynamic Measurement Technology 2023-SYSJJ-05the Fundamental Research Program of Shanxi Province 20210302124329the Innovative Research Group Project of the National Science Foundation of China 51821003the National Natural Science Foundation of China 62201523
6 · The paper itself

Abstract

Magnetic anomaly detection (MAD) technology based on the magnetic gradient tensor (MGT) has broad application prospects in fields such as unexploded ordnance detection and mineral exploration. The difference approximation method currently employed in the MGT measurement system introduces measurement errors. Designing reasonable geometric structures and configuring optimal structural parameters can effectively reduce measurement errors. Based on research into differential MGT measurement, this paper proposes three simplified planar MGT measurement structures and provides the differential measurement matrix. The factors that affect the design of the baseline distance of the MGT measurement system are also theoretically analyzed. Then, using the magnetic dipole model, the error analysis of the MGT measurement structures is carried out. The results demonstrate that the planar cross-shaped structure is optimal, with the smallest measurement error, only 3.15 × 10

Indexed as

baseline distancefluxgate magnetometermagnetic anomaly detectionmagnetic gradient tensor measurementsensor array

Identifiers

PMID39000862
PMCPMC11243850

What OpenQuestion holds

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Registered trials

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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.