Evidence map›Paper›PMID 39000995›Full record

ArticleSensors (Basel, Switzerland)2024

Eddy Current Sensor Array for Electromagnetic Sensing and Crack Reconstruction with High Lift-Off in Railway Tracks.

Yuchun Shao, Zihan Xia, Yiqing Ding, Bob Crocker, Scott Saunders, Xue Bai, Anthony Peyton, Daniel Conniffe, Wuliang Yin

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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. Article
  2. Article
  3. Electromagnetic Sensing and Its Applications.Sensors (Basel, Switzerland) · 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

9 authors.

Yuchun ShaoSchool of Electrical and Electronic Engineering, University of Manchester, Manchester M13 9PL, UK.
Zihan XiaSchool of Electrical and Electronic Engineering, University of Manchester, Manchester M13 9PL, UK.
Yiqing DingSchool of Electrical and Electronic Engineering, University of Manchester, Manchester M13 9PL, UK.
Bob CrockerSperry Rail International Ltd., Derby DE24 8UP, UK.
Scott SaundersSperry Rail International Ltd., Derby DE24 8UP, UK.
Xue BaiSchool of Electrical and Electronic Engineering, University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0002-8121-9391
Anthony PeytonSchool of Electrical and Electronic Engineering, University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0002-5740-348X
Daniel ConniffeSchool of Electrical and Electronic Engineering, University of Manchester, Manchester M13 9PL, UK.
Wuliang YinSchool of Electrical and Electronic Engineering, University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0001-5927-3052

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A reliable and efficient rail track defect detection system is essential for maintaining rail track integrity and avoiding safety hazards and financial losses. Eddy current (EC) testing is a non-destructive technique that can be employed for this purpose. The trade-off between spatial resolution and lift-off should be carefully considered in practical applications to distinguish closely spaced cracks such as those caused by rolling contact fatigue (RCF). A multi-channel eddy current sensor array has been developed to detect defects on rails. Based on the sensor scanning data, defect reconstruction along the rails is achieved using an inverse algorithm that includes both direct and iterative approaches. In experimental evaluations, the EC system with the developed sensor is used to measure defects on a standard test piece of rail with a probe lift-off of 4-6 mm. The reconstruction results clearly reveal cracks at various depths and spacings on the test piece.

Indexed as

eddy current testingelectromagnetic inductionmeasurementplanar structuretheoretical calculation

Identifiers

PMID39000995
PMCPMC11244094

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.