Evidence map›Paper›PMID 38004950›Full record

ArticleMicromachines2023

Temperature Compensation of SAW Winding Tension Sensor Based on PSO-LSSVM Algorithm.

Yang Feng, Wenbo Liu, Haoda Yu, Keyong Hu, Shuifa Sun, Ben Wang

Abstract read
PubMed Full text at PMC Publisher
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

6 authors.

Yang FengSchool of Information Science and Technology, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0002-9917-2878
Wenbo LiuSchool of Information Science and Technology, Hangzhou Normal University, Hangzhou 311121, China.
Haoda YuSchool of Information Science and Technology, Hangzhou Normal University, Hangzhou 311121, China.
Keyong HuSchool of Engineering, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0002-8963-6237
Shuifa SunSchool of Information Science and Technology, Hangzhou Normal University, Hangzhou 311121, China.
Ben WangSchool of Information Science and Technology, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0002-5341-1642

Funding

Joint Funds of the Zhejiang Provincial Natural Science Founda- 390 tion of China LHY21E090004Scientific Research Fund of Hangzhou Normal University 4115C50220204101Scientific Research Fund of Zhejiang Provincial Education De- 388 partment Y202250022"The Professional Development Projects of Teachers" 391 for Domestic Visiting Scholars of Colleges and Universities in 2022, China FX2022075Zhejiang Provincial Natural Science Foundation 387 of China LQ23F010005
6 · The paper itself

Abstract

In this paper, a SAW winding tension sensor is designed and data fusion technology is used to improve its measurement accuracy. To design a high-measurement precision SAW winding tension sensor, the unbalanced split-electrode interdigital transducers (IDTs) were used to design the input IDTs and output IDTs, and the electrode-overlap envelope was adopted to design the input IDT. To improve the measurement accuracy of the sensor, the particle swarm optimization-least squares support vector machine (PSO-LSSVM) algorithm was used to compensate for the temperature error. After temperature compensation, the sensitivity temperature coefficient α

Indexed as

PSO-LSSVM algorithmsurface acoustic wave (SAW)temperature compensationwinding tension sensor

Identifiers

PMID38004950
PMCPMC10672973

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.