Evidence map›Paper›PMID 41554988›Full record

ArticleScientific reports2026

Research on geometric parameter quantification of rail rolling contact fatigue crack damage based on 2D optical image.

Yu Wang, Bingrong Miao, Ying Zhang, Zhong Huang

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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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.

Yu WangState Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu, China.
Bingrong MiaoState Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu, China. brmiao@home.swjtu.edu.cn.
Ying ZhangState Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu, China.
Zhong HuangState Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu, China.

Funding

and the Basic Scientific ResearchBusiness Expenses of Central Universities - Special Research Project 2682022ZTPY007he Self-developed Research Project of theState Key Laboratory of Traction Power 2023TPL_T08the KeyR&D projects in Sichuan Province 2023YFG0197This research is financially supported by National Natural Science Foundation of China 51775456
6 · The paper itself

Abstract

High-speed railway is a comprehensive carrier of high-technology. As an important infrastructure of high - speed rail tracks, rail breakage and derailment accidents caused by rail rolling contact fatigue crack damage are quite common. Considering that a single eddy current pulsed thermography cannot directly and very accurately make a quantitative estimate of the geometric parameters of Rolling Contact Fatigue (RCF), this paper proposes a rail contact fatigue crack damage identification system and method based on the fusion of 2D optical images and eddy current thermography. A mathematical - physical model of Poisson reconstruction degree for the fusion of 2D optical images and eddy current thermography is proposed to quantitatively characterize the geometric parameters of rail cracks, such as length and depth. A rail contact fatigue crack damage identification robot system based on the fusion of 2D optical images and eddy current thermography is designed and built. Experiments are carried out to compare the detection accuracy of crack geometric parameter identification in static and dynamic (different motion states) modes, as well as to study the impact on the quantification of crack geometric parameters. The experimental results show that the proposed Poisson reconstruction degree based on the fusion of 2D optical images and eddy current thermography has good robustness in quantifying crack geometric parameters in the slow - speed mode, verifying the effectiveness of the system and method.

Indexed as

Eddy current pulsed thermography (ECPT) imaging fusionHigh-speed railwayPoisson reconstruction degreeRolling contact fatigue crack

Identifiers

PMID41554988
PMCPMC12890921

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