Evidence map›Paper›PMID 37960522›Full record

ArticleSensors (Basel, Switzerland)2023

Spacecraft Segment Damage Identification Method Based on Fiber Optic Strain Difference Field Reconstruction and Norm Calculation.

Jihong Xu, Jie Zeng, Binbin Chen, Ruixin Lu, Yangyang Zhu, Lei Qi, Xiangfei Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article 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 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

7 authors.

Jihong XuCollege of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Jie ZengCollege of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Binbin ChenCollege of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Ruixin LuCollege of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Yangyang ZhuCollege of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Lei QiBeijing Institute of Spacecraft Environment Engineering, Beijing 100094, China.
Xiangfei ChenCollege of Engineering and Applied Sciences, Nanjing University, Nanjing 210023, China.

Funding

National Natural Science Foundation of China 52275536the Fund of Aeronautics Science 20220028052002the National Key Laboratory of Helicopter Rotor Dynamics Fund project 61422202207the National Key Research and Development Program of the Ministry of Science and Technology 2021YFC2802300
6 · The paper itself

Abstract

Real-time online identification of spacecraft segment damage is of great significance for realizing spacecraft structural health monitoring and life prediction. In this paper, a damage response characteristic field inversion algorithm based on the differential reconstruction of strain response is proposed to solve the problem of not being able to recognize the small damages of spacecraft structure directly by the strain response alone. Four crack damage location identification methods based on vector norm computation are proposed, which realize online identification and precise location of structural damage events without external excitation by means of spacecraft structural working loads only. A spacecraft segment structural damage monitoring system based on fiber optic grating sensors was constructed, and the average error of damage localization based on the curvature vector 2 norm calculation was 2.58 mm, and the root-mean-square error was 1.98 mm. The results show that the method has superior engineering applicability for on-orbit service environments.

Indexed as

damage recognitionfiber optic grating sensorspacecraft segment structurestrain response difference fieldvector norms

Identifiers

PMID37960522
PMCPMC10648302

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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.