Structural Health Monitoring Machine Learning
Listing Websites about Structural Health Monitoring Machine Learning
Machine learning and structural health monitoring overview with
(3 days ago) WEBConventional damage detection techniques are gradually being replaced by state-of-the-art smart monitoring and decision-making solutions. Near real-time and …
https://journals.sagepub.com/doi/full/10.1177/14759217211036880
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Deep neural network-based structural health monitoring - Nature
(Just Now) WEBFigure 1 shows the real-time crack-damage monitoring system, which predicts the strain field through a machine learning model with a small number of strain …
https://www.nature.com/articles/s41598-022-24269-4
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Structural monitoring data repair based on a long short-term …
(Just Now) WEBTan, X. et al. Investigation on the data augmentation using machine learning algorithms in structural health monitoring information. Struct. Health Monit. 20 , …
https://www.nature.com/articles/s41598-024-60196-2
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Review of Machine-Learning Techniques Applied to …
(2 days ago) WEBThis review identifies current machine-learning algorithms implemented in building structural health monitoring systems and their success in determining the level of damage in a hierarchical …
https://www.mdpi.com/2076-3417/12/21/10754
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Machine Learning Algorithms in Civil Structural Health Monitoring: …
(Just Now) WEBApplications of Machine Learning (ML) algorithms in Structural Health Monitoring (SHM) have become of great interest in recent years owing to their superior …
https://link.springer.com/article/10.1007/s11831-020-09471-9
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Structural Health Monitoring Using Machine Learning Techniques …
(2 days ago) WEBStructural Health Monitoring (SHM) is a condition-based maintenance technology using sensing systems. In SHM, the use of domain knowledge is essential: it …
https://link.springer.com/chapter/10.1007/978-3-319-90403-0_20
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Machine Learning Techniques for Structural Health Monitoring of
(Just Now) WEBFor structural health monitoring (SHM) in civil engineering structures, a variety of data-driven approaches have been proposed, including machine learning …
https://link.springer.com/article/10.1007/s40996-023-01054-5
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Machine Learning for Structural Health Monitoring - MDPI
(2 days ago) WEBViewed by 1865. Abstract. Structural health monitoring systems continuously monitor the operational state of structures, generating a large amount of monitoring data during …
https://www.mdpi.com/journal/applsci/special_issues/688883M021
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Structural Health Monitoring Using Machine Learning Techniques
(6 days ago) WEBEnvironmental factors, particularly vibrations and temperature can damage the structural health of the building. To avoid heavy damage to the building and to maintain the …
https://ieeexplore.ieee.org/document/10266048/
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Structural health monitoring by a novel probabilistic machine …
(7 days ago) WEBTo prevent these catastrophic events, structural health monitoring (SHM) is an important necessity for every society [2]. SHM is an emerging multidisciplinary …
https://www.sciencedirect.com/science/article/pii/S0888327022002217
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Machine learning techniques for structural health monitoring of
(1 days ago) WEBSection snippets Review of machine learning algorithms. Although many machine learning (ML) algorithms are currently in use, this section provides an …
https://www.sciencedirect.com/science/article/abs/pii/S1296207420304441
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Structural Health Monitoring Using Machine Learning and - MDPI
(1 days ago) WEBMachine learning (ML)-aided structural health monitoring (SHM) can rapidly evaluate the safety and integrity of the aging infrastructure following an …
https://www.mdpi.com/2076-3417/11/12/5727
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Physics-informed machine learning for Structural Health Monitoring
(2 days ago) WEBThe use of machine learning in Structural Health Monitoring is becoming more common, as many of the inherent tasks (such as regression and classification) in …
https://arxiv.org/abs/2206.15303
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Structural Health Monitoring: A Machine Learning Perspective
(6 days ago) WEBWritten by global leaders and pioneers in the field, this book is a must-have read for researchers, practicing engineers and university faculty working in SHM. Structural …
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Study on Structural Health Monitoring Practice Using Artificial
(5 days ago) WEBGiven the rise of artificial intelligence, there are numerous intra-discipline studies taking place driven by the AI's powerful data mining and analysis capability. In the field of civil …
https://ieeexplore.ieee.org/document/10441957
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Structural Health Monitoring Wiley Online Books
(2 days ago) WEBWritten by global leaders and pioneers in the field, this book is a must-have read for researchers, practicing engineers and university faculty working in SHM. …
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118443118
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The application of machine learning to structural health …
(1 days ago) WEBMalekloo A, Ozer E, AlHamaydeh M and Girolami M (2021) Machine learning and structural health monitoring overview with emerging technology and …
https://royalsocietypublishing.org/doi/10.1098/rsta.2006.1938
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Machine learning at the interface of structural health monitoring …
(1 days ago) WEBBull L, Hughes A, Rogers T, Gardner P, Worden K and Dervilis N (2022) Partially Supervised Learning for Data-Driven Structural Health Monitoring Structural …
https://royalsocietypublishing.org/doi/10.1098/rsta.2019.0581
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Physics-Informed Machine Learning for Structural Health …
(2 days ago) WEBAbstract. The use of machine learning in structural health monitoring is becoming more common, as many of the inherent tasks (such as regression and …
https://link.springer.com/chapter/10.1007/978-3-030-81716-9_17
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Concrete and steel bridge Structural Health Monitoring—Insight …
(7 days ago) WEBMachine learning in bridge structural health monitoring is a very active research field. For future developments, researchers are encouraged to make efforts in …
https://www.sciencedirect.com/science/article/pii/S0950061823023127
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Integration of Railway Bridge Structural Health Monitoring into the
(2 days ago) WEBStructural health monitoring (SHM) is critical for ensuring the safety of infrastructure such as bridges. This article presents a digital twin solution for the SHM of railway bridges …
https://ui.adsabs.harvard.edu/abs/2024Senso..24.2115A/abstract
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Structural Damage Detection Based on the Correlation of …
(2 days ago) WEBIdentifying the structural state without baseline data is an important engineering problem in the field of structural health monitoring, which is crucial for assessing the safety …
https://ui.adsabs.harvard.edu/abs/2024Senso..24.2616L/abstract
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Machine Learning-Based Structural Health Monitoring of Dams
(2 days ago) WEBIn structural health monitoring applications, optimized algorithms perform well in predicting the normal response of even complex mechanical systems such as …
https://link.springer.com/chapter/10.1007/978-981-97-1781-1_31
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Applied Sciences Free Full-Text The Research on Deep Learning
(Just Now) WEBLoads and strains in critical areas play a crucial role in aircraft structural health monitoring, the tracking of individual aircraft lifespans, and the compilation of …
https://www.mdpi.com/2076-3417/14/9/3938
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Health Monitoring and Disease Detection Using Machine Learning …
(9 days ago) WEBHealth monitoring and disease detection are critical components of modern healthcare, with machine learning serving as a cornerstone in predictive analysis. …
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4811240
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Structural Health Monitoring for impact localisation via machine …
(7 days ago) WEBStructural Health Monitoring (SHM) is the continuous control of the integrity of structures under the action of operational loads. There are two main …
https://www.sciencedirect.com/science/article/pii/S0888327022007105
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Sugarcane Health Monitoring With Satellite Spectroscopy and …
(2 days ago) WEBResearch into large-scale crop monitoring has flourished due to increased accessibility to satellite imagery. This review delves into previously unexplored and …
https://arxiv.org/abs/2404.16844
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Sensors Free Full-Text Structural Damage Detection Based on …
(Just Now) WEBIdentifying the structural state without baseline data is an important engineering problem in the field of structural health monitoring, which is crucial for …
https://www.mdpi.com/1424-8220/24/8/2616
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Machine Learning Applications in Optical Fiber Sensing: A …
(2 days ago) WEBThe constant monitoring and control of various health, infrastructure, and natural factors have led to the design and development of technological devices in a wide range of …
https://ui.adsabs.harvard.edu/abs/2024Senso..24.2200R/abstract
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