Monitoring cantilever beam with a vision-based algorithm and smartphone

Mehmet Sefa Orak; Turgut Ozturk

doi:10.21595/vp.2018.19873

Monitoring cantilever beam with a vision-based algorithm and smartphone

Mehmet Sefa Orak^*, Turgut Ozturk

^*Bu çalışma için yazışmadan sorumlu yazar

İnşaat Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Dergiye katkı › Konferans makalesi › bilirkişi

4 Atıf (Scopus)

Özet

The study presented in this manuscript deals with a non-contact structural health monitoring approach based on the use of smartphone and computer vision algorithm to estimate the vibrating characteristics of a cantilever slender beam. We hypothesize that the vibration of the beam can be captured using a smartphone in slow-motion modality and the natural frequency of the beam can be extracted using a computer vision algorithm. The results show an excellent agreement between the conventional contact method and the non-contact novel approach proposed here.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	107-111
Sayfa sayısı	5
Dergi	Vibroengineering Procedia
Hacim	17
DOI'lar	https://doi.org/10.21595/vp.2018.19873
Yayın durumu	Yayınlandı - 1 Nis 2018
Etkinlik	31st International Conference on Vibroengineering - Dubai, United Arab Emirates Süre: 20 Nis 2018 → 22 Nis 2018

Bibliyografik not

Publisher Copyright:
© JVE INTERNATIONAL LTD.

Finansman

The first author was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) 2214/A International Doctoral Research Fellowship Programme (Grant No. #1059B141600085). The experiments were held at the Laboratory for Nondestructive Evaluation and Structural Health Monitoring Studies at University of Pittsburgh. Authors would also like to acknowledge Piervincenzo Rizzo and Amir Nasrollahi from the Department of Civil and Environmental Engineering at University of Pittsburgh and also, David Mas and Belen Ferrer from the Department of Civil Engineering at University of Alicante.

Finansörler	Finansör numarası
TUBITAK	1059B141600085
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

Belgeye Erişim

10.21595/vp.2018.19873

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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abstract = "The study presented in this manuscript deals with a non-contact structural health monitoring approach based on the use of smartphone and computer vision algorithm to estimate the vibrating characteristics of a cantilever slender beam. We hypothesize that the vibration of the beam can be captured using a smartphone in slow-motion modality and the natural frequency of the beam can be extracted using a computer vision algorithm. The results show an excellent agreement between the conventional contact method and the non-contact novel approach proposed here.",

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author = "Orak, {Mehmet Sefa} and Turgut Ozturk",

note = "Publisher Copyright: {\textcopyright} JVE INTERNATIONAL LTD.; 31st International Conference on Vibroengineering ; Conference date: 20-04-2018 Through 22-04-2018",

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AU - Ozturk, Turgut

N1 - Publisher Copyright: © JVE INTERNATIONAL LTD.

PY - 2018/4/1

Y1 - 2018/4/1

N2 - The study presented in this manuscript deals with a non-contact structural health monitoring approach based on the use of smartphone and computer vision algorithm to estimate the vibrating characteristics of a cantilever slender beam. We hypothesize that the vibration of the beam can be captured using a smartphone in slow-motion modality and the natural frequency of the beam can be extracted using a computer vision algorithm. The results show an excellent agreement between the conventional contact method and the non-contact novel approach proposed here.

AB - The study presented in this manuscript deals with a non-contact structural health monitoring approach based on the use of smartphone and computer vision algorithm to estimate the vibrating characteristics of a cantilever slender beam. We hypothesize that the vibration of the beam can be captured using a smartphone in slow-motion modality and the natural frequency of the beam can be extracted using a computer vision algorithm. The results show an excellent agreement between the conventional contact method and the non-contact novel approach proposed here.

KW - Computer vision

KW - Nondestructive testing

KW - Structural health monitoring

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DO - 10.21595/vp.2018.19873

M3 - Conference article

AN - SCOPUS:85047179451

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JO - Vibroengineering Procedia

JF - Vibroengineering Procedia

T2 - 31st International Conference on Vibroengineering

Y2 - 20 April 2018 through 22 April 2018

ER -

Monitoring cantilever beam with a vision-based algorithm and smartphone

Özet

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap