Structural Plastic Damage Warning and Real-Time Sensing System Based on Cointegration Theory.

Qiang Gao, Junzhou Huo, Youfu Wang, Xiaotian Wang, Chongru Wang

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 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.

Automated Rayleigh-Wave Nonlinear Acoustic Platform for Real-Time Fatigue Monitoring in Metallic Materials.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

5 authors.

Qiang GaoSchool of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China.

Junzhou HuoSchool of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China.

Youfu WangSchool of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China.

Xiaotian WangSchool of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China.

Chongru WangSchool of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China.

Funding

Liaoning Province major science and technology 2022HJ1/10400031Liaoning Province science and technology plan joint plan 2023JH2/101700286National Natural Science Foundation of China under Grant 52275236

6 · The paper itself

Abstract

Structural damage can affect the long-term operation of equipment. Real-time damage warning for structures can effectively avoid accidents caused by structural damage. In this paper, a real-time warning method of structural plastic damage based on the cointegration theory is proposed. This method calculates the cointegration relationship between the strain signals at different measuring points, and the stability of the strain signal relationships is also evaluated. The problem of inaccurate detection caused by the error of strain measurement and environmental influence can be eliminated by the comprehensive judgment of strain between asymmetrical measuring points. A real-time damage sensing system is developed in this paper. In order to improve the real-time and practicability of the system, this paper proposes and determines the residual warning coefficient by analyzing the proportion of the strain residuals exceeding the residual threshold. The research on this sensing system has certain value for the engineering application of damage monitoring methods.

Indexed as

cointegration theorydamage alarmingreal-time warningsensing systemwarning coefficient

Identifiers

PMID39338705

DOI10.3390/s24185961

PMCPMC11435944

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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.