Structural Health Monitoring Machine Learning

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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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Machine learning paradigm for structural health monitoring

(7 days ago) WEBMachine learning provides the advanced mathematical frameworks and algorithms that can help discover and model the performance and conditions of a …

https://journals.sagepub.com/doi/10.1177/1475921720972416

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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 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 using deep learning with optimal …

(7 days ago) WEBStructural Health Monitoring (SHM) is a general term referring to engineering analysis methods that study the presence and characteristics of changes in …

https://www.sciencedirect.com/science/article/pii/S0888327020303587

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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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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 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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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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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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Artificial-Intelligence-Based Methods for Structural Health Monitoring

(2 days ago) WEBMachine learning (ML)-aided structural health monitoring (SHM) can rapidly evaluate the safety and integrity of the infrastructure. The next two research articles [ 8 , 9 ] in this Special Issue introduced the framework of applying the ML algorithm for damage identification purposes.

https://www.mdpi.com/2076-3417/12/24/12726

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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 …

https://www.wiley.com/en-us/Structural+Health+Monitoring%3A+A+Machine+Learning+Perspective-p-9781119994336

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Machine learning techniques for structural health monitoring …

(1 days ago) WEBSection snippets Review of machine learning algorithms. Although many machine learning (ML) algorithms are currently in use, this section provides an overview of the most common types of algorithms used for structural health monitoring (SHM) of heritage buildings.

https://www.sciencedirect.com/science/article/abs/pii/S1296207420304441

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Physics-informed machine learning for Structural Health Monitoring

(2 days ago) WEBDownload PDF Abstract: The use of machine learning in Structural Health Monitoring is becoming more common, as many of the inherent tasks (such as …

https://arxiv.org/abs/2206.15303

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Intelligent structural health monitoring of composite structures …

(6 days ago) WEBStructural health monitoring (SHM) methods are essential to guarantee the safety and integrity of composite structures, which are extensively utilized in …

https://www.tandfonline.com/doi/full/10.1080/09243046.2023.2215474

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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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Machine learning for structural health monitoring: challenges and

(2 days ago) WEBMachine learning for structural health monitoring: challenges and opportunities. A physics-based approach to structural health monitoring (SHM) has practical …

https://ui.adsabs.harvard.edu/abs/2020SPIE11379E..03Y/abstract

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STRUCTURAL HEALTH MONITORING - Wiley Online Library

(9 days ago) WEBStructural health monitoring : a machine learning perspective / Charles R. Farrar, Keith Worden. p. cm. Includes bibliographical references and index. ISBN 978-1-119-99433-6 …

https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781118443118.fmatter

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Machine learning for structural health monitoring: challenges and

(3 days ago) WEBAs a step towards the goal of automated damage detection, preliminary results are presented from dynamic modelling of beam structures using physics …

https://www.semanticscholar.org/paper/Machine-learning-for-structural-health-monitoring%3A-Yuan-Zargar/0c3b78813c577853fb7a068f0fa8530354cff5d4

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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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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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Structural Health Monitoring: Sage Journals

(7 days ago) WEBStructural Health Monitoring publishes peer-reviewed papers on technical investigations of structural health monitoring methods and technologies with an …

https://journals.sagepub.com/home/shm

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Machine learning techniques for structural health monitoring of

(7 days ago) WEBStructural health monitoring of heritage structures is essential for prolonging their remaining service life, predicting locations of possible damages in …

https://www.sciencedirect.com/science/article/pii/S1296207420304441

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Sensors Free Full-Text A Discussion of Building a Smart SHM

(1 days ago) WEBThis paper explores the development of a smart Structural Health Monitoring (SHM) platform tailored for long-span bridge monitoring, using the Forth Road Bridge …

https://www.mdpi.com/1424-8220/24/10/3163

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Machine Learning Prediction and Evaluation for Structural Damage …

(Just Now) WEBTo investigate the impact of structural damages on the comfort level of suspension footbridges under human-induced vibrations, this study addresses the …

https://www.mdpi.com/2075-5309/14/5/1344

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A BIM-enabled digital twin framework for real-time structural health

(8 days ago) WEBSemantic Scholar extracted view of "A BIM-enabled digital twin framework for real-time structural health monitoring using IoT sensing, digital signal processing, and structural analysis" by Xi Hu et al. Improving the Predictive Analytics of Machine-Learning Pipelines for Bridge Infrastructure Asset Management Applications: An …

https://www.semanticscholar.org/paper/A-BIM-enabled-digital-twin-framework-for-real-time-Hu-Olgun/c4eda4a7717f4135daec3ba488b1317edc230b15

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A review of artificial intelligence applications in wind turbine …

(6 days ago) WEBQiao, H., T. Wang, P. Wang, S. Qiao, and L. Zhang. 2018. “A Time-Distributed Spatiotemporal Feature Learning Method for Machine Health Monitoring …

https://www.tandfonline.com/doi/full/10.1080/14786451.2024.2326296

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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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Transforming Patient Monitoring with Machine Learning

(Just Now) WEBDavid Kim, MD, PhD and his team are developing software that synthesizes data from electronic health records and physiologic monitors in real-time to provide more specific …

https://emed.stanford.edu/stories/diagnostics.html

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The Benefits of AI in Healthcare IBM

(7 days ago) WEBThey can share these real-time data sets with their doctors to monitor health issues and provide alerts in case of problems. AI solutions—such as big data …

https://www.ibm.com/think/insights/ai-healthcare-benefits

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