Evidence map›Paper›PMID 37374773›Full record

ArticleMicromachines2023

A Low-Noise Micromachined Accelerometer with Reconfigurable Electrodes for Resonance Suppression.

Zayed Ahmed, Charles Duruaku, Fatemeh Edalatfar, Mehrdad Moallem, Behraad Bahreyni

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 36% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Zayed AhmedSchool of Mechatronic Systems Engineering, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.
Charles DuruakuSchool of Mechatronic Systems Engineering, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.
Fatemeh EdalatfarSchool of Mechatronic Systems Engineering, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.
Mehrdad MoallemSchool of Mechatronic Systems Engineering, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.ORCID 0000-0003-4700-7026
Behraad BahreyniSchool of Mechatronic Systems Engineering, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.ORCID 0000-0001-6809-1445
Simon Fraser University · CA

Funding

Natural Sciences and Engineering Research Council CRDPJ 518159 - 17
6 · The paper itself

Abstract

We present a high-performance capacitive accelerometer with a sub-µg noise limit and 1.2 kHz bandwidth for particle acceleration detection applications. The low noise of the accelerometer is achieved through a combination of device design optimization and operation under vacuum to reduce the effects of air damping. Operation under vacuum, however, causes amplification of signals around the resonance region, potentially resulting in incapacitating it through saturation of interface electronics or nonlinearities and even damage. The device has thus been designed with two sets of electrodes for high and low electrostatic coupling efficiency. During normal operation, the open-loop device utilizes its high-sensitivity electrodes to provide the best resolution. When a strong signal near resonance is detected, the electrodes with low sensitivity are used for signal monitoring, while the high-sensitivity electrodes are used to apply feedback signals efficiently. A closed-loop electrostatic feedback control architecture is designed to counteract the large displacements of the proof mass near resonance frequency. Therefore, the ability to reconfigure electrodes lets the device be used in high-sensitivity or high-resiliency modes. Several experiments were conducted with DC and AC excitation at different frequencies to verify the effectiveness of the control strategy. The results showed a ten-fold reduction of displacement at resonance in the closed-loop arrangement compared to the open-loop system with a quality factor of 120.

Indexed as

high-performance accelerometersnegative derivative controllerresonance suppressionvacuum packaged accelerometer

Identifiers

PMID37374773
PMCPMC10303965
OpenAlexW4379232754

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.