Evidence map›Paper›PMID 38155782›Full record

ArticleiScience2024

Wireless sensing in high-speed railway turnouts with battery-free materials and devices.

Yuhua Sun, Yan Yan, Song Tian, Gang Liu, Fei Wu, Ping Wang, Mingyuan Gao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2024. 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. Review
  2. Review
  3. 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

7 authors.

Yuhua SunCollege of Engineering and Technology, Southwest University, Chongqing 400716, China.
Yan YanSchool of Materials and Energy, Southwest University, Chongqing 400715, China.
Song TianCollege of Engineering and Technology, Southwest University, Chongqing 400716, China.
Gang LiuSchool of Materials and Energy, Southwest University, Chongqing 400715, China.
Fei WuCollege of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400030, China.
Ping WangSchool of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China.
Mingyuan GaoCollege of Engineering and Technology, Southwest University, Chongqing 400716, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sustainable energy technologies enable solutions for future green transportation. Realizing status awareness and effective wireless monitoring of rail transit infrastructure in dark environments, narrow spaces, and unattended conditions has always been a challenge. This study presents a battery-free vibration-powered force sensing system (VFSS) that integrates structural loading, sensing, and energy harvesting. The proposed VFSS can sense a switching force of up to 4 kN in the high-speed railway turnout section, deliver 6.9 mW of average power over a broad frequency band (ca. 500 Hz) under a vibration amplitude of 0.2 mm, and realize wireless data transmission. Through a cross-scale design from the device to the system, we demonstrate an all-in-one smart component that features stress flow, signal flow, and energy flow, which could highlight the implementation of energy structures in the future.

Indexed as

Applied sciencesEngineeringMaterials science

Identifiers

PMID38155782
PMCPMC10753070

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.