Evidence map›Paper›PMID 33401731›Full record

ArticleSensors (Basel, Switzerland)2021

Piezoelectric Transducer-Based Diagnostic System for Composite Structure Health Monitoring.

Egidijus Dragašius, Darius Eidukynas, Vytautas Jūrėnas, Darius Mažeika, Mantas Galdikas, Arkadiusz Mystkowski, Joanna Mystkowska

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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
1.2field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 15 citations in OpenAlex.

  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 at 2 institutions in 2 countries.

Egidijus DragašiusFaculty of Mechanical Engineering and Design, Kaunas University of Technology, Studentu str., 56-321 Kaunas, Lithuania.ORCID 0000-0001-6610-6797
Darius EidukynasFaculty of Mechanical Engineering and Design, Kaunas University of Technology, Studentu str., 56-321 Kaunas, Lithuania.ORCID 0000-0003-4140-1102
Vytautas JūrėnasInstitute of Mechatronics, Kaunas University of Technology, Studentu str., 56-005 Kaunas, Lithuania.
Darius MažeikaFaculty of Mechanical Engineering and Design, Kaunas University of Technology, Studentu str., 56-321 Kaunas, Lithuania.
Mantas GaldikasFaculty of Mechanical Engineering and Design, Kaunas University of Technology, Studentu str., 56-321 Kaunas, Lithuania.
Arkadiusz MystkowskiFaculty of Electrical Engineering, Bialystok University of Technology, Wiejska 45D, 15-351 Bialystok, Poland.ORCID 0000-0002-5742-7609
Joanna MystkowskaFaculty of Mechanical Engineering, Bialystok University of Technology, Wiejska 45C, 15-351 Bialystok, Poland.ORCID 0000-0002-3386-146X
Kaunas University of Technology · LTBialystok University of Technology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper focuses on the investigation of the diagnostic system for health monitoring and defects, detecting in composite structures using a piezoelectric sensor. A major overview of structural defects in composite materials that have an influence on product performance as well as material strength is presented. Particularly, the proposed diagnostic (health monitoring) system enables to monitor the composite material plate defects during the exploitation in real-time. The investigated health monitoring system can indicate the material structure defects when the periodic test input signal is provided to excite the plate. Especially, the diagnostic system is useful when the defect placement is hard to be identified. In this work, several various numerical and experimental studies were carried out. Particularly, during the first study, the piezoelectric transducer was used to produce mechanical excitation to the composite plate when the impact response is measured with another piezoelectric sensor. The second study focuses on the defect identification algorithms of the raw hologram data consisting of the recorded oscillation modes of the affected composite plate. The main paper results obtained in both studies enable us to determine whether the composite material is characterized by mechanical defects occurring during the response to the periodic excitation. In case of damage, the observed response amplitude was decreased by 70%. Finally, using the time-domain experimental results, the frequency response functions (FRFs) are applied to damage detection assessment and to obtain extra damage information.

Indexed as

composite defectcomposite materialdefect detectiondiagnostic systemhealth monitoring systemmechanical impactpiezoelectric sensor

Identifiers

PMID33401731
PMCPMC7794749
OpenAlexW3119329334

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.