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Article

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Title

Application of Wavelet Transform to Damage Identification in the Steel Structure Elements

Authors

[ 1 ] Instytut Analizy Konstrukcji, Wydział Inżynierii Lądowej i Transportu, Politechnika Poznańska | [ 2 ] Instytut Elektrotechniki i Elektroniki Przemysłowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics and electrical engineering
[2.7] Civil engineering and transport

Year of publication

2020

Published in

Applied Sciences

Journal year: 2020 | Journal volume: vol. 10 | Journal number: no. 22

Article type

scientific article

Publication language

english

Keywords
EN
  • wavelet transform
  • construction diagnostics
  • non-destructive testing
  • acoustic emission method
Abstract

EN This work concerns the concept and verification of the experimental possibility of using a wavelet transform to assess a steel structure’s condition. In the research, a developed measuring stand was used. Mechanical waves in the metal plate were excited by the impact. These waves were recorded with an electroacoustic transducer and registered in the form of electrical signals. Both the signals generated by the actuator of the plate and the signals reaching the transducer were recorded. The registered data were decomposed into wavelet coefficients. Laboratory tests have shown the possibility of applying this type of test to identify damage in steel structural elements—the relationship between the details of the wavelet transform and the type of damage was demonstrated.

Pages (from - to)

8198-1 - 8198-12

DOI

10.3390/app10228198

URL

https://www.mdpi.com/2076-3417/10/22/8198/htm

Comments

article number: 8198

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Full text of article

Download file

Access level to full text

public

Ministry points / journal

70

Ministry points / journal in years 2017-2021

100

Impact Factor

2,679

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