Signal processing techniques for IoT-based structural health monitoring

Md Anam Mahmud, Ahmed Abdelgawad, Kumar Yelamarthi, Yasser A. Ismail

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

2 Scopus citations

Abstract

With the advancement of modern technology, structures like buildings, bridges, etc. are getting structurally complicated, and safety has become an issue. Structural Health Monitoring (SHM) with Internet of Things (IoT) can help improving security and safety. However, efficient signal processing for IoT is a challenge. In this paper, a signal processing based SHM is proposed where a simple Butterworth filter was used to remove noises. Cross-Correlation was used for damage detection. If there was any damage found, using a mathematical model, damage size and location were determined. After analyzing the experimental data, error found in damage localization is 2.9% and error in determining damage size is 3.344%. Since the whole algorithm does not associate with complex mathematical calculations, this system can be used for low-cost distributed system for SHM.

Original languageEnglish
Title of host publication2017 29th International Conference on Microelectronics, ICM 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538640494
DOIs
StatePublished - Jan 24 2018
Event29th International Conference on Microelectronics, ICM 2017 - Beirut, Lebanon
Duration: Dec 10 2017Dec 13 2017

Publication series

NameProceedings of the International Conference on Microelectronics, ICM
Volume2017-December

Conference

Conference29th International Conference on Microelectronics, ICM 2017
Country/TerritoryLebanon
CityBeirut
Period12/10/1712/13/17

Keywords

  • Butterworth filter
  • Cross-correlation
  • IoT
  • PZT
  • SHM

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