Evidence map›Paper›PMID 35744449›Full record

ArticleMicromachines2022

A Novel Temperature Drift Error Precise Estimation Model for MEMS Accelerometers Using Microstructure Thermal Analysis.

Bing Qi, Shuaishuai Shi, Lin Zhao, Jianhua Cheng

Abstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

4 authors.

Bing QiCollege of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China.ORCID 0000-0002-2995-302X
Shuaishuai ShiCollege of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China.
Lin ZhaoCollege of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China.
Jianhua ChengCollege of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China.

Funding

145 High-tech Ship Innovation Project sponsored by the Chinese Ministry of Industry and Infor-mation Technology noFundamental Research Funds for Central Universities 3072019CF0401, 3072020CFJ0402, 3072020CFT0403Heilongjiang Province Research Science Fund for Excellent Young Scholars YQ2020F009National Key Research and Development Program 2017YFE0131400National Natural Science Foundation of China 62003108, 62073093, 61773132, 61803115, 62003109
6 · The paper itself

Abstract

Owing to the fact that the conventional Temperature Drift Error (TDE) precise estimation model for a MEMS accelerometer has incomplete Temperature-Correlated Quantities (TCQ) and inaccurate parameter identification to reduce its accuracy and real time, a novel TDE precise estimation model using microstructure thermal analysis is studied. First, TDE is traced precisely by analyzing the MEMS accelerometer's structural thermal deformation to obtain complete TCQ, ambient temperature

Indexed as

MEMS accelerometermicrostructure thermal analysisPSO-GA-BPNNTDE precise test based on heat conduction analysistemperature dependence

Identifiers

PMID35744449
PMCPMC9229977

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.