Signal-Level Fusion Approach for Embedded Ultrasonic Sensors in Damage Detection of Real RC Structures

Joyraj Chakraborty and Marek Stolinski
Additional contact information
Joyraj Chakraborty: NeoStrain Sp. z o.o., Lipowa 3, 30-702 Krakow, Poland
Marek Stolinski: NeoStrain Sp. z o.o., Lipowa 3, 30-702 Krakow, Poland

Mathematics, 2022, vol. 10, issue 5, 1-17

Abstract: This paper presents a novel methodology to fuse signals from multiple ultrasonic sensors and detect cracks in the reinforced concrete reference structure using nondecimate discrete wavelet transform. The behaviour of a reinforced concrete structure subjected to operational changes is considered. The changes/damage detection procedure is based on a novel sensor fusion method. Several advantages of the proposed approach using the sensor fusion method with respect to features from single pair of sensors were shown and discussed based on the tested objects. A CWT feature-based approach is considered to extract damage-sensitive features. Experimental results using the proposed approach show a probability of detection greater than 94% when detecting cracks due to quasistatic load. Due to the comprehensive effectiveness and low computational complexity, the proposed approach could be performed in large real structural damage assessment problems as well.

Keywords: ultrasonic NDT; signal processing; signal level fusion; reference reinforced concrete structures; damage detection; wavelet transform (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/10/5/724/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/5/724/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2022:i:5:p:724-:d:757932

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().