Evidence map›Paper›PMID 40369351›Full record

ArticleCommunications engineering2025

An integrated wireless system for dynamic strain monitoring of Einel-rad-Einelfahrwerk bogies for high-speed rail transport.

FengLong Wang, Yating Yu, Zhiwen Luo, Lai Wei, Jing Zeng, Guiyun Tian

Abstract read
In one paragraph

Article in Communications engineering, 2025. 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
–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

1 citing paper in PubMed.

  1. Editors' Choice 2025.Communications engineering · 2026
    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

6 authors.

FengLong WangSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.ORCID http://orcid.org/0009-0008-0437-0689
Yating YuSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China. wzwyyt@uestc.edu.cn.ORCID http://orcid.org/0000-0001-6027-7560
Zhiwen LuoSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Lai WeiState Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu, 610031, China.
Jing ZengState Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu, 610031, China.
Guiyun TianSchool of Engineering, Newcastle University, NE1 7RU, Newcastle upon Tyne, UK.ORCID http://orcid.org/0000-0002-7563-1523

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52275522
6 · The paper itself

Abstract

As critical load-bearing components of high-speed trains, bogies endure multidirectional alternating loads during long-term operation, making their dynamic strain characteristics and structural integrity pivotal to operational safety. Therefore, real-time dynamic strain monitoring of bogies is essential for predicting and preventing high-speed train accidents. Compared to traditional Non-Destructive Testing and Evaluation (NDT&E) methods, Radio Frequency Identification (RFID) sensors are more suitable for Structural Health Monitoring (SHM) due to their wireless capabilities and cost-effectiveness. Here we propose a wireless real-time monitoring system that utilizes integrated RFID tags with microcontrollers and sensor modules for real-time dynamic strain monitoring of Einel-rad-Einelfahrwerk (EEF) bogies. The microcontroller converts analog signals into digital, enhancing environmental interference resistance. The RFID tags wirelessly transmit digital signals to readers and host computers. To verify accuracy and real-time dynamic strain detection capabilities of designed system, experiments were conducted in laboratory settings and on-site with high-speed train bogies. Experimental results validate the system's 200 Hz dynamic strain detection capability with a 70 cm operational range. Laboratory calibrations within 600-1400 με exhibited absolute errors <19.39 με (2.07%). On-site tests on bogies revealed absolute errors of 5.08 με (7.50%) for axle strain and 7.59 με (7.66%) for wheel hub lateral strain under operational conditions.

Identifiers

PMID40369351
PMCPMC12078583

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.