Concepedia

Convolutional neural networks (CNNs)-based multi-category damage detection and recognition of high-speed rail (HSR) reinforced concrete (RC) bridges using test images

Lingkun Chen, Wenxin Chen, Lu Wang, Chencheng Zhai, Xiaolun Hu, Linlin Sun, Yuan Tian, Xiaoming Huang, Lizhong Jiang

Engineering Structures · 2022 · 100 citations · 41 references

Concepts

Bridge DesignConvolutional Neural NetworkImage AnalysisComputer VisionMachine VisionEngineeringCivil EngineeringReinforced ConcreteStructural Health MonitoringConvolutional Neural NetworksTest ImagesStructural PerformanceDeep LearningMulti-category Damage DetectionStructural EngineeringStructural Identification

References

41

ImageNet classification with deep convolutional neural networks

Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton · Communications of the ACM · 2017 · 75.5K citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +19

ImageNet: A large-scale hierarchical image database

Jia Deng, Wei Dong, R. Socher et al. · 2009 IEEE Conference on Computer Vision and Pattern Recognition · 2009 · 2.9K citations

Engineering, Machine Learning, Image Retrieval +21

Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types

Young‐Jin Cha, Wooram Choi, Gahyun Suh et al. · Computer-Aided Civil and Infrastructure Engineering · 2017 · 1.5K citations

A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges

Weihua Li, Ruyi Huang, Jipu Li et al. · Mechanical Systems and Signal Processing · 2021 · 742 citations · Full text

Artificial Intelligence, Fault Diagnosis, Engineering +11

Deep Transfer Learning for Image‐Based Structural Damage Recognition

Yuqing Gao, Khalid M. Mosalam · Computer-Aided Civil and Infrastructure Engineering · 2018 · 734 citations