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.
N1 - Publisher Copyright:
© 2017 IEEE.
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
UR - http://www.scopus.com/inward/record.url?scp=85045155139&partnerID=8YFLogxK
U2 - 10.1109/ICM.2017.8268825
DO - 10.1109/ICM.2017.8268825
M3 - Conference contribution
AN - SCOPUS:85045155139
T3 - Proceedings of the International Conference on Microelectronics, ICM
SP - 1
EP - 5
BT - 2017 29th International Conference on Microelectronics, ICM 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 29th International Conference on Microelectronics, ICM 2017
Y2 - 10 December 2017 through 13 December 2017
ER -