Evidence map›Paper›PMID 30823484›Full record

ReviewSensors (Basel, Switzerland)2019

Advances of Area-Wise Distributed Monitoring Using Long Gauge Sensing Techniques.

Liming Zhou, Jian Zhang

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2019. 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. 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

2 authors.

Liming ZhouSchool of Civil Engineering, Southeast University, Nanjing 210096, China. liming_zhou@seu.edu.cn.
Jian ZhangJiangsu Key Laboratory of Engineering Mechnics, Southeast University, Nanjing 210096, China. jian@seu.edu.cn.ORCID 0000-0002-9129-255X

Funding

Fundamental Research Funds for the Central Universities (Postgraduate Research&Practice Innovation Program of Jiangsu Province) KYLX16_0246National Key R&D Program of China 2018YFC0705601National Science Foundation of China 51578139National Science Foundation of China 51778134Priority Academic Program Development of Jiangsu Higher Education Institutions 1105007002Science Foundation of Jiangsu Province for Distinguished Young Scholars BK20160002
6 · The paper itself

Abstract

This paper provides an overview of the area-wise distributed monitoring based on long gauge sensing to meet the requirements in the field of structural health monitoring (SHM), the methodology is reviewed and its application is discussed in this paper. First, a long gauge sensing technique developed for SHM, which utilizes carbon fiber and optical fiber sensors with important technical improvements is introduced and described. Second, area-wise distributed monitoring is discussed in order to demonstrate the high-performance of this approach in structural monitoring using a network of long gauge sensors. Third, theories of processing area-wise distributed monitoring data for comprehensive structural identification have been developed, which perform a rich recognition of local and global structural parameters including structural deflections, dynamic characteristics, damages, and loads. This area-wise distributed monitoring concept and the aforementioned long gauge sensing technique are finally embedded into an SHM system to offer a viable monitoring solution for groups and networks of infrastructural systems. Some successful applications are cited to confirm the effectiveness of the SHM system.

Indexed as

area-wise distributed monitoringlong gauge sensingstructural health monitoring

Identifiers

PMID30823484
PMCPMC6427166

What OpenQuestion holds

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LicenceCC BY
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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.