Signal processing techniques for IoT-based structural health monitoring

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

doi:10.1109/ICM.2017.8268825

Signal processing techniques for IoT-based structural health monitoring

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

Engineering & Technology, School Of

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 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 language	English
Title of host publication	2017 29th International Conference on Microelectronics, ICM 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781538640494
DOIs	https://doi.org/10.1109/ICM.2017.8268825
State	Published - Jan 24 2018
Event	29th International Conference on Microelectronics, ICM 2017 - Beirut, Lebanon Duration: Dec 10 2017 → Dec 13 2017

Publication series

Name	Proceedings of the International Conference on Microelectronics, ICM
Volume	2017-December

Conference

Conference	29th International Conference on Microelectronics, ICM 2017
Country/Territory	Lebanon
City	Beirut
Period	12/10/17 → 12/13/17

Keywords

Butterworth filter
Cross-correlation
IoT
PZT
SHM

Access to Document

10.1109/ICM.2017.8268825

Cite this

Mahmud, M. A., Abdelgawad, A., Yelamarthi, K., & Ismail, Y. A. (2018). Signal processing techniques for IoT-based structural health monitoring. In 2017 29th International Conference on Microelectronics, ICM 2017 (pp. 1-5). (Proceedings of the International Conference on Microelectronics, ICM; Vol. 2017-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICM.2017.8268825

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title = "Signal processing techniques for IoT-based structural health monitoring",

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.",

keywords = "Butterworth filter, Cross-correlation, IoT, PZT, SHM",

author = "Mahmud, {Md Anam} and Ahmed Abdelgawad and Kumar Yelamarthi and Ismail, {Yasser A.}",

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doi = "10.1109/ICM.2017.8268825",

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Mahmud, MA, Abdelgawad, A, Yelamarthi, K & Ismail, YA 2018, Signal processing techniques for IoT-based structural health monitoring. in 2017 29th International Conference on Microelectronics, ICM 2017. Proceedings of the International Conference on Microelectronics, ICM, vol. 2017-December, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 29th International Conference on Microelectronics, ICM 2017, Beirut, Lebanon, 12/10/17. https://doi.org/10.1109/ICM.2017.8268825

Signal processing techniques for IoT-based structural health monitoring. / Mahmud, Md Anam; Abdelgawad, Ahmed; Yelamarthi, Kumar et al.
2017 29th International Conference on Microelectronics, ICM 2017. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-5 (Proceedings of the International Conference on Microelectronics, ICM; Vol. 2017-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Signal processing techniques for IoT-based structural health monitoring

AU - Mahmud, Md Anam

AU - Abdelgawad, Ahmed

AU - Yelamarthi, Kumar

AU - Ismail, Yasser A.

PY - 2018/1/24

Y1 - 2018/1/24

N2 - 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.

AB - 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.

KW - Butterworth filter

KW - Cross-correlation

KW - IoT

KW - PZT

KW - SHM

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M3 - Conference contribution

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T3 - Proceedings of the International Conference on Microelectronics, ICM

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T2 - 29th International Conference on Microelectronics, ICM 2017

Y2 - 10 December 2017 through 13 December 2017

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Signal processing techniques for IoT-based structural health monitoring

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Keywords

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