Smart City Gnosys

Smart city article details

Title	Recent Advancements In Ai-Enabled Smart Electronics Packaging For Structural Health Monitoring
ID_Doc	44540
Authors	Sharma V.B.; Tewari S.; Biswas S.; Lohani B.; Dwivedi U.D.; Dwivedi D.; Sharma A.; Jung J.P.
Year	2021
Published	Metals, 11, 10
DOI	http://dx.doi.org/10.3390/met11101537
Abstract	Real-time health monitoring of civil infrastructures is performed to maintain their structural integrity, sustainability, and serviceability for a longer time. With smart electronics and packaging technology, large amounts of complex monitoring data are generated, requiring sophisticated artificial intelligence (AI) techniques for their processing. With the advancement of technology, more complex AI models have been applied, from simple models to sophisticated deep learning (DL) models, for structural health monitoring (SHM). In this article, a comprehensive review is performed, primarily on the applications of AI models for SHM to maintain the sustainability of diverse civil infrastructures. Three smart data capturing methods of SHM, namely, camera-based, smartphone-based, and unmanned aerial vehicle (UAV)-based methods, are also discussed, having made the utilization of intelligent paradigms easier. UAV is found to be the most promising smart data acquisition technology, whereas convolution neural networks are the most impressive DL model reported for SHM. Furthermore, current challenges and future perspectives of AI-based SHM systems are also described separately. Moreover, the Internet of Things (IoT) and smart city concepts are explained to elaborate on the contributions of intelligent SHM systems. The integration of SHM with IoT and cloud-based computing is leading us towards the evolution of future smart cities. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Author Keywords	Civil infrastructure; Damage detection; Electronics packaging; Lead-free solders; Pipeline leakage detection; Structural health monitoring

Similar Articles

Id	Similarity	Authors	Title	Published
35895	0.92	Malekloo A.; Ozer E.; AlHamaydeh M.; Girolami M.	Machine Learning And Structural Health Monitoring Overview With Emerging Technology And High-Dimensional Data Source Highlights	Structural Health Monitoring, 21, 4 (2022)
10427	0.912	Zinno R.; Haghshenas S.S.; Guido G.; Vitale A.	Artificial Intelligence And Structural Health Monitoring Of Bridges: A Review Of The State-Of-The-Art	IEEE Access, 10 (2022)
56915	0.907	Zinno R.; Haghshenas S.S.; Guido G.; Rashvand K.; Vitale A.; Sarhadi A.	The State Of The Art Of Artificial Intelligence Approaches And New Technologies In Structural Health Monitoring Of Bridges	Applied Sciences (Switzerland), 13, 1 (2023)
10086	0.9	Mondal T.G.; Jahanshahi M.R.	Applications Of Computer Vision-Based Structural Health Monitoring And Condition Assessment In Future Smart Cities	The Rise of Smart Cities: Advanced Structural Sensing and Monitoring Systems (2022)
6604	0.894	Xu G.; Guo T.	Advances In Ai-Powered Civil Engineering Throughout The Entire Lifecycle	Advances in Structural Engineering (2025)
53267	0.886	Kapoor N.R.; Kumar A.; Arora H.C.; Kumar A.	Structural Health Monitoring Of Existing Building Structures For Creating Green Smart Cities Using Deep Learning	Recurrent Neural Networks: Concepts and Applications (2022)
57653	0.882	Dirhamsyah M.; Ibrahim I.B.M.; Fonna S.; Sukhairi T.A.; Riza H.; Huzni S.	Toward Automation Of Structural Health Monitoring: An Ai Use Case For Infrastructure Resilience In A Smart City Setting	9th International Conference on ICT for Smart Society: Recover Together, Recover Stronger and Smarter Smartization, Governance and Collaboration, ICISS 2022 - Proceeding (2022)
17889	0.876	Tang H.; Xie Y.; Ran L.	Deep Learning For Vibration-Based Data-Driven Defect Diagnosis Of Structural Systems	The Rise of Smart Cities: Advanced Structural Sensing and Monitoring Systems (2022)
31552	0.869	Abedi M.; Shayanfar J.; Al-Jabri K.	Infrastructure Damage Assessment Via Machine Learning Approaches: A Systematic Review	Asian Journal of Civil Engineering, 24, 8 (2023)
2501	0.867	Chan C.C.K.; Chen C.-C.; Delaney S.; Ferworn A.	A Markerless High Resolution Structural Health Monitoring Framework For Smart Cities	2021 IEEE Technology and Engineering Management Conference - Europe, TEMSCON-EUR 2021 (2021)