Evidence map›Paper›PMID 42817310›Full record

ArticleSensors (Basel, Switzerland)2026

Frequency-Domain Analysis and Optimization of Capacitive Angle Sensors.

Pei Huang, Changliang Wu, Xiaokang Liu, Xianjie Xiao

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. 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.

Pei HuangSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Changliang WuSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Xiaokang LiuEngineering Research Center of Mechanical Testing Technology and Equipment (Ministry of Education), Chongqing University of Technology, Chongqing 400054, China.
Xianjie XiaoEngineering Research Center of Mechanical Testing Technology and Equipment (Ministry of Education), Chongqing University of Technology, Chongqing 400054, China.ORCID 0009-0000-2168-4905

Funding

National Key R&D Program of China 2023YFB3209400National Natural Science Foundation of China 52125503National Natural Science Foundation of China 52405578
6 · The paper itself

Abstract

Capacitive angle sensors are crucial components in many industrial applications due to their ability to provide precise angle measurement at low cost and low power consumption. Unfortunately, their frequency-domain characteristics have yet to be thoroughly investigated. In this paper, we investigate the frequency response curves of capacitive angle sensors and find that these sensors have an optimal operating frequency. We also show that operating frequency for capacitive angle sensors does not impact systematic error, but it does impact random error. Based on our findings, we demonstrate the optimization of a candidate sensor's operating frequency and show a 11.5% ± 1.5% (p = 95% and k = 2.14) reduction in the random error compared to the sensor operating at the typical 20 kHz frequency. The frequency-domain characteristics presented in this paper refine our understanding of capacitive angle sensors and provide guidance for sensor design and optimization.

Indexed as

capacitive angle sensorsfrequency-domain analysisfrequency driftrandom errorsystematic error

Identifiers

PMID42817310
PMCPMC13611599

What OpenQuestion holds

Textmetadata
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.