Evidence map›Paper›PMID 36850478›Full record

ReviewSensors (Basel, Switzerland)2023

Marine Structural Health Monitoring with Optical Fiber Sensors: A Review.

Shimeng Chen, Jiahui Wang, Chao Zhang, Mengqi Li, Na Li, Haojun Wu, Yun Liu, Wei Peng, Yongxin Song

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
6.9field-weighted citation impact, top 2% of its field
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

8 citing papers in PubMed, 53 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Shimeng ChenDepartment of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Jiahui WangDepartment of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Chao ZhangDepartment of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Mengqi LiDepartment of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Na LiDepartment of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Haojun WuDepartment of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Yun LiuSchool of Physics, Dalian University of Technology, Dalian 116024, China.ORCID 0000-0001-9384-4912
Wei PengSchool of Physics, Dalian University of Technology, Dalian 116024, China.
Yongxin SongDepartment of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Dalian Maritime University · CNDalian University of Technology · CN

Funding

Dalian Science and Technology Talent Innovation Support Project 2022RQ009National Natural Science Foundation of China 62205044
6 · The paper itself

Abstract

Real-time monitoring of large marine structures' health, including drilling platforms, submarine pipelines, dams, and ship hulls, is greatly needed. Among the various kinds of monitoring methods, optical fiber sensors (OFS) have gained a lot of concerns and showed several distinct advantages, such as small size, high flexibility and durability, anti-electromagnetic interference, and high transmission rate. In this paper, three types of OFS used for marine structural health monitoring (SHM), including point sensing, quasi-distributed sensing, and distributed sensing, are reviewed. Emphases are given to the applicability of each type of the sensors by analyzing the operating principles and characteristics of the OFSs. The merits and demerits of different sensing schemes are discussed, as well as the challenges and future developments in OFSs for the marine SHM field.

Indexed as

marine structuresoptical fiber applicationsoptical fiber sensorstructural health monitoring

Identifiers

PMID36850478
PMCPMC9967336
OpenAlexW4319601925

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.