Application of machine learning with impedance based techniques for structural health monitoring of civil infrastructure

Increased attentiveness on the environmental and effects of aging, deterioration and extreme events on civil infrastructure has created the need for more advanced damage detection tools and structural health monitoring (SHM). Today, these tasks are performed by signal processing, visual inspecti...

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Main Authors:	Ahmed, Zaheer, Syed Mohamed Ali, Jaffar, Rafeeq, Mohammed, Hrairi, Meftah
Format:	Article
Language:	English English
Published:	Blue Eyes Intelligence Engineering and Sciences Publication 2019
Subjects:	TA630 Structural engineering (General) TH3301 Maintenance and repair
Online Access:	http://irep.iium.edu.my/76243/ http://irep.iium.edu.my/76243/ http://irep.iium.edu.my/76243/ http://irep.iium.edu.my/76243/1/76243_Application%20of%20Machine%20Learning%20with%20Impedance.pdf http://irep.iium.edu.my/76243/2/76243_Application%20of%20Machine%20Learning%20with%20Impedance_SCOPUS.pdf

id	iium-76243
recordtype	eprints
spelling	iium-762432019-12-12T01:53:16Z http://irep.iium.edu.my/76243/ Application of machine learning with impedance based techniques for structural health monitoring of civil infrastructure Ahmed, Zaheer Syed Mohamed Ali, Jaffar Rafeeq, Mohammed Hrairi, Meftah TA630 Structural engineering (General) TH3301 Maintenance and repair Increased attentiveness on the environmental and effects of aging, deterioration and extreme events on civil infrastructure has created the need for more advanced damage detection tools and structural health monitoring (SHM). Today, these tasks are performed by signal processing, visual inspection techniques along with traditional well known impedance based health monitoring EMI technique. New research areas have been explored that improves damage detection at incipient stage and when the damage is substantial. Addressing these issues at early age prevents catastrophe situation for the safety of human lives. To improve the existing damage detection newly developed techniques in conjugation with EMI innovative new sensors, signal processing and soft computing techniques are discussed in details this paper. The advanced techniques (soft computing, signal processing, visual based, embedded IOT) are employed as a global method in prediction, to identify, locate, optimize, the damage area and deterioration. The amount and severity, multiple cracks on civil infrastructure like concrete and RC structures (beams and bridges) using above techniques along with EMI technique and use of PZT transducer. In addition to survey advanced innovative signal processing, machine learning techniques civil infrastructure connected to IOT that can make infrastructure smart and increases its efficiency that is aimed at socioeconomic, environmental and sustainable development. Blue Eyes Intelligence Engineering and Sciences Publication 2019-04 Article PeerReviewed application/pdf en http://irep.iium.edu.my/76243/1/76243_Application%20of%20Machine%20Learning%20with%20Impedance.pdf application/pdf en http://irep.iium.edu.my/76243/2/76243_Application%20of%20Machine%20Learning%20with%20Impedance_SCOPUS.pdf Ahmed, Zaheer and Syed Mohamed Ali, Jaffar and Rafeeq, Mohammed and Hrairi, Meftah (2019) Application of machine learning with impedance based techniques for structural health monitoring of civil infrastructure. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8 (6S4). pp. 1139-1148. ISSN 2278-3075 https://www.ijitee.org/wp-content/uploads/papers/v8i6s4/F12370486S419.pdf 10.35940/ijitee.F1237.0486S419
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TA630 Structural engineering (General) TH3301 Maintenance and repair
spellingShingle	TA630 Structural engineering (General) TH3301 Maintenance and repair Ahmed, Zaheer Syed Mohamed Ali, Jaffar Rafeeq, Mohammed Hrairi, Meftah Application of machine learning with impedance based techniques for structural health monitoring of civil infrastructure
description	Increased attentiveness on the environmental and effects of aging, deterioration and extreme events on civil infrastructure has created the need for more advanced damage detection tools and structural health monitoring (SHM). Today, these tasks are performed by signal processing, visual inspection techniques along with traditional well known impedance based health monitoring EMI technique. New research areas have been explored that improves damage detection at incipient stage and when the damage is substantial. Addressing these issues at early age prevents catastrophe situation for the safety of human lives. To improve the existing damage detection newly developed techniques in conjugation with EMI innovative new sensors, signal processing and soft computing techniques are discussed in details this paper. The advanced techniques (soft computing, signal processing, visual based, embedded IOT) are employed as a global method in prediction, to identify, locate, optimize, the damage area and deterioration. The amount and severity, multiple cracks on civil infrastructure like concrete and RC structures (beams and bridges) using above techniques along with EMI technique and use of PZT transducer. In addition to survey advanced innovative signal processing, machine learning techniques civil infrastructure connected to IOT that can make infrastructure smart and increases its efficiency that is aimed at socioeconomic, environmental and sustainable development.
format	Article
author	Ahmed, Zaheer Syed Mohamed Ali, Jaffar Rafeeq, Mohammed Hrairi, Meftah
author_facet	Ahmed, Zaheer Syed Mohamed Ali, Jaffar Rafeeq, Mohammed Hrairi, Meftah
author_sort	Ahmed, Zaheer
title	Application of machine learning with impedance based techniques for structural health monitoring of civil infrastructure
title_short	Application of machine learning with impedance based techniques for structural health monitoring of civil infrastructure
title_full	Application of machine learning with impedance based techniques for structural health monitoring of civil infrastructure
title_fullStr	Application of machine learning with impedance based techniques for structural health monitoring of civil infrastructure
title_full_unstemmed	Application of machine learning with impedance based techniques for structural health monitoring of civil infrastructure
title_sort	application of machine learning with impedance based techniques for structural health monitoring of civil infrastructure
publisher	Blue Eyes Intelligence Engineering and Sciences Publication
publishDate	2019
url	http://irep.iium.edu.my/76243/ http://irep.iium.edu.my/76243/ http://irep.iium.edu.my/76243/ http://irep.iium.edu.my/76243/1/76243_Application%20of%20Machine%20Learning%20with%20Impedance.pdf http://irep.iium.edu.my/76243/2/76243_Application%20of%20Machine%20Learning%20with%20Impedance_SCOPUS.pdf
first_indexed	2023-09-18T21:47:46Z
last_indexed	2023-09-18T21:47:46Z
_version_	1777413564749840384

Application of machine learning with impedance based techniques for structural health monitoring of civil infrastructure

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