Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Proceedings of the 2nd International Conference on Computing Innovation and Applied Physics (CONF-CIAP 2023)
Series Vol. 5 , 25 May 2023
Open
Access | Article
Artificial Intelligence and Machine Learning Applications in to Structural Health Monitoring
* Author to whom correspondence should be addressed.
Abstract
Numerous civil infrastructures, such as bridges, dams, and skyscrapers are getting to be vulnerable to losing their planned capacities as they break down from utilization. In spite of the fact that many people have been propelled to examine these structures by the concern on a regular basis, there is still diagnosis in need for onsite inspections on closing bridge frameworks or building structures for diagnosis, due to lack of personnel. In that case, many researches team have come up with structural health monitoring (SHM) techniques. This paper will investigate a few strategies for SHM techniques. The scope is primarily on machine learning strategies, such as vision-based strategy for SHM techniques. Based on other correlated articles, vision-based strategy is fine to be used for structural health monitoring and detection. Models that are well defined will be applied to different kinds of issue. There's much to think about and research here. To summarize, machine learning techniques for SHM have been shown to be more successful than traditional strategies. The primary paper employments territorially upgraded multiphase division procedure, which is prepared with SVM, which has been shown to be superior to previous methods. Overall, ML methods are gradually becoming crucial perspectives on SHM challenges.
Keywords
Structural health monitoring, Vision-based, Machine learning, CNN classifier
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Computing Innovation and Applied Physics (CONF-CIAP 2023)
- ISBN (Print)
- 978-1-915371-53-9
- ISBN (Online)
- 978-1-915371-54-6
- Published Date
- 25 May 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/5/20230581
- Copyright
- © 2023 The Author(s)
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited