Evidence map›Paper›PMID 33803485›Full record

ArticleSensors (Basel, Switzerland)2021

Frequency Domain Analysis of Partial-Tensor Rotating Accelerometer Gravity Gradiometer.

Xuewu Qian, Liye Zhao, Weiming Liu, Jianqiang Sun

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Xuewu QianSchool of Instrument Science and Engineering, Southeast University, Nanjing 210096, China.
Liye ZhaoSchool of Instrument Science and Engineering, Southeast University, Nanjing 210096, China.
Weiming LiuSchool of Instrument Science and Engineering, Southeast University, Nanjing 210096, China.
Jianqiang SunSchool of Automation and Electrical Engineering, Linyi University, Linyi 276000, China.

Funding

China Postdoctoral Science Foundation funded project 2020M671287Jiangsu Planned Projects for Postdoctoral Research Funds 2020Z387Linyi University PhD Research Foundation funded project LYDX2018BS066National Natural Science Foundation of China 11805091Natural Science Foundation of Shandong Province ZR2020MF089
6 · The paper itself

Abstract

The output model of a rotating accelerometer gravity gradiometer (RAGG) established by the inertial dynamics method cannot reflect the change of signal frequency, and calibration sensitivity and self-gradient compensation effect for the RAGG is a very important stage in the development process that cannot be omitted. In this study, a model based on the outputs of accelerometers on the disc of RGAA is established to calculate the gravity gradient corresponding to the distance, through the study of the RAGG output influenced by a surrounding mass in the frequency domain. Taking particle, sphere, and cuboid as examples, the input-output models of gravity gradiometer are established based on the center gradient and four accelerometers, respectively. Simulation results show that, if the scale factors of the four accelerometers on the disk are the same, the output signal of the RAGG only contains (4k+2)ω (ω is the spin frequency of disc for RAGG) harmonic components, and its amplitude is related to the orientation of the surrounding mass. Based on the results of numerical simulation of the three models, if the surrounding mass is close to the RAGG, the input-output models of gravity gradiometer are more accurate based on the four accelerometers. Finally, some advantages and disadvantages of cuboid and sphere are compared and some suggestions related to calibration and self-gradient compensation are given.

Indexed as

frequency domaingravity gradiometryoutput modelrotating accelerometer

Identifiers

PMID33803485
PMCPMC7967201

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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.