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Convolutional Neural Networks for Real-Time and Wireless Damage Detection
Qatar University, Qatar.
Qatar University, Qatar.ORCID iD: 0000-0003-0530-9552
Qatar University, Qatar.
University of Michigan, USA.
2020 (English)In: Dynamics of Civil Structures: Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics 2019 / [ed] Shamim Pakzad, Springer, 2020, p. 129-136Conference paper, Published paper (Other academic)
Abstract [en]

Structural damage detection methods available for structural health monitoring applications are based on data preprocessing, feature extraction, and feature classification. The feature classification task requires considerable computational power which makes the utilization of centralized techniques relatively infeasible for wireless sensor networks. In this paper, the authors present a novel Wireless Sensor Network (WSN) based on One Dimensional Convolutional Neural Networks (1D CNNs) for real-time and wireless structural health monitoring (SHM). In this method, each CNN is assigned to its local sensor data only and a corresponding 1D CNN is trained for each sensor unit without any synchronization or data transmission. This results in a decentralized system for structural damage detection under ambient environment. The performance of this method is tested and validated on a steel grid laboratory structure.

Place, publisher, year, edition, pages
Springer, 2020. p. 129-136
Series
Conference Proceedings of the Society for Experimental Mechanics Series, ISSN 2191-5644, E-ISSN 2191-5652 ; 2
National Category
Other Civil Engineering
Research subject
Technology (byts ev till Engineering), Civil engineering
Identifiers
URN: urn:nbn:se:lnu:diva-89750DOI: 10.1007/978-3-030-12115-0_17ISBN: 978-3-030-12114-3 (print)ISBN: 978-3-030-12115-0 (electronic)OAI: oai:DiVA.org:lnu-89750DiVA, id: diva2:1362680
Conference
The 37th IMAC, A Conference and Exposition on Structural Dynamics, 28-31 January, 2019, Orlando, Florida
Available from: 2019-10-21 Created: 2019-10-21 Last updated: 2019-12-20Bibliographically approved

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Abdeljaber, Osama

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf