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Updated: Jun 3, 2025

Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation
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Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation

Published on: September 29, 2019

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一种基于时间和频率的数据驱动方法,用于识别结构损坏,并将其应用于电缆支桥梁样本

Naiwei Lu1, Yiru Liu1, Jian Cui1

  • 1School of Civil Engineering, Changsha University of Science and Technology, Changsha 410114, China.

Sensors (Basel, Switzerland)
|January 8, 2025
PubMed
概括

本研究引入了一种使用机器学习和时间频率图像分析来识别结构损伤的新方法. 该ResNet模型有效地检测桥梁的损坏,即使有有限的传感器和杂的数据.

关键词:
这是一座悬挂式桥梁.卷积神经网络是一种卷积神经网络.格拉姆角差距场的不同结构损坏的识别和识别结构健康监测 结构健康监测

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