A Design of Network Based Platform for the Diagnosis of Beam-Type Structure

Der Cherng Liaw*, Chen Hao Yin, Che Wei Hsu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Different from those existing schemes, in our previous work (presented in CACS 2022), a control area network (CAN) bus based network topology was proposed for structural health monitoring (SHM). A 154cm long beam-type steel structure was built up for experimental verification of the proposed diagnosis platform. Instead of the results from the axial vibration data only, in this paper we extend the previous study to cover the planar effect on the testing beam. The whole area of the proposed testing beam is divided into three regions. Nine sets of the designed vibration module formed as a 3 by 3 mesh are set up on each region for vibration testing. It is observed from the experimental data that the frequency spectra of the data collected by nine sets of sensor module on the same region are almost identical for each different testing. Case studies of the testing beam by placing sensing modules on three different regions are also set up to verify the validity of the designed platform, which demonstrate the success of the proposed design.

Original languageEnglish
Title of host publicationProceedings of the 2023 IEEE 6th International Conference on Knowledge Innovation and Invention, ICKII 2023
EditorsTeen-Hang Meen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages751-754
Number of pages4
ISBN (Electronic)9798350323535
DOIs
StatePublished - 2023
Event6th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2023 - Sapporo, Japan
Duration: 11 Aug 202313 Aug 2023

Publication series

NameProceedings of the 2023 IEEE 6th International Conference on Knowledge Innovation and Invention, ICKII 2023

Conference

Conference6th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2023
Country/TerritoryJapan
CitySapporo
Period11/08/2313/08/23

Keywords

  • monitoring
  • network
  • structural health monitoring (SHM)

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