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Titlebook: Data Science in Engineering Vol. 10; Proceedings of the 4 Thomas Matarazzo,Fran?ois Hemez,Austin Downey Conference proceedings 2025 The Soc

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發(fā)表于 2025-3-21 19:57:56 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Data Science in Engineering Vol. 10
副標題Proceedings of the 4
編輯Thomas Matarazzo,Fran?ois Hemez,Austin Downey
視頻videohttp://file.papertrans.cn/285/284452/284452.mp4
叢書名稱Conference Proceedings of the Society for Experimental Mechanics Series
圖書封面Titlebook: Data Science in Engineering Vol. 10; Proceedings of the 4 Thomas Matarazzo,Fran?ois Hemez,Austin Downey Conference proceedings 2025 The Soc
描述.Data Science in Engineering, Volume 10: Proceedings of the 42.nd. IMAC,. .A Conference and Exposition on Structural Dynamics, 2024, .the tenth volume of ten from the Conference brings together contributions to this important area of research and engineering.? The collection presents early findings and case studies on fundamental and applied aspects of Data Science in Engineering, including papers on:.. .Novel Data-driven Analysis Methods. .Deep Learning Gaussian Process Analysis. .Real-time Video-based Analysis. .Applications to Nonlinear Dynamics and Damage Detection. .Data-driven System Prognostics..
出版日期Conference proceedings 2025
關(guān)鍵詞Conference Proceedings; Novel Data-driven Analysis Methods; Deep Learning Gaussian Process Analysis; Re
版次1
doihttps://doi.org/10.1007/978-3-031-68142-4
isbn_softcover978-3-031-68144-8
isbn_ebook978-3-031-68142-4Series ISSN 2191-5644 Series E-ISSN 2191-5652
issn_series 2191-5644
copyrightThe Society for Experimental Mechanics 2025
The information of publication is updating

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Statistical Evaluation of Machine Learning for Vibration Data,om large quantities of data collected under varying conditions to make predictions, such as detection, identification, and characterization. Current ML implementation consists of training a model for narrow, task-specific needs, such as training a neural network to detect the presence of structural
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Optimal Modeling of Deep Groove Ball Bearings for Application in Multibody Dynamics Simulations,e normal contact force between the rolling elements and the two bearing races are established, including the effects of raceway surface roughness. Various contact force models with different hysteresis damping formulations are examined in order to select the best suited for the application. The bear
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Utilization of Bridge Acceleration Response for Indirect Strain Sensing,onse under daily traffic loading. However, deploying and maintaining strain sensors is costly and labor-intensive compared to acceleration sensors. To address this issue, we propose a neural network architecture that can perform indirect sensing by estimating strain from measured acceleration respon
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Physics-Informed Machine Learning Part II: Applications in Structural Response Forecasting,interpretability of predictive models. By incorporating physical laws and constraints into the learning process, physics-informed machine learning enables more robust predictions and reduces the need for large amounts of training data. In part II of this two-part series, the authors present structur
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Understanding High-Frequency Modes in Electromechanical Impedance Measurement Using Noncontact Vibr measurements are recorded via a bonded piezoelectric transducer, at a high-frequency range, typically 30 kHz and above. Because EMI measurements are single input single output, the peaks in these measurements can be related to either mechanical, electrical, or coupled electromechanical modes, espec
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