Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art Review

Cited by (798)

Items 301–400 of 798

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2. A Dual-Discriminator Conditional GAN for rapid compressive sensing of structural vibration data
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5. Damage Detection on Real Bridges Using Machine Learning Techniques: A Systematic Review
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6. LLM-based multi-agent system for dam structural health monitoring
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8. An Impact Localization Solution Using Embedded Intelligence—Methodology and Experimental Verification via a Resource-Constrained IoT Device
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9. Structural adaptive damage detection under uncertainty based on probability dissimilarity and moving average control chart
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10. YOLOX-DG robotic detection systems for large-scale underwater concrete structures
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11. Analysis of Structural Health Monitoring Data with Correlated Measurement Error by Bayesian System Identification: Theory and Application
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12. A new deep transfer learning method for intelligent bridge damage diagnosis based on muti-channel sub-domain adaptation
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13. Intelligence Approach for Structural Monitoring via UAV-Artificial Intelligence-Based
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14. Damage Identification in Steel Girders of Highway Bridges Utilizing Vibration Based Methods and Convolution Neural Network in the Presence of Noise
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15. Structural damage inverse detection from noisy vibration measurement with physics-informed neural networks
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16. Big Model Strategy for Bridge Structural Health Monitoring Based on Data-Driven, Adaptive Method and Convolutional Neural Network (CNN) Group
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17. Smart railways: AI-based track-side monitoring for wheel flat identification
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18. A Hybrid Deep Transfer Learning Framework for Delamination Identification in Composite Laminates
    Muhammad Haris Yazdani, Muhammad Muzammil Azad, Salman Khalid, Heung Soo Kim · 2025 · Sensors
19. Remote Non-Destructive Testing of Port Cranes: A Review of Vibration and Acoustic Sensors with IoT Integration
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20. Unsupervised structural damage detection and severity assessment via U-GraphFormer
    Jie Liu, Qilin Li, Ling Li, Senjian An · 2025 · Structural Health Monitoring
21. Explainable and comparative machine learning models for punching shear prediction in reinforced concrete flat slabs
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22. Integrated Damage Location Diagnosis of Frame Structure Based on Convolutional Neural Network with Inception Module
    Jianhua Ren, Chaozhi Cai, Yaolei Chi, Yingfang Xue · 2022 · Sensors
23. Development and Validation of a Low-Cost Device for Real-Time Detection of Fatigue Damage of Structures Subjected to Vibrations
    Agnese Staffa, Massimiliano Palmieri, Giulia Morettini, Guido Zucca, Francesco Crocetti, Filippo Cianetti · 2023 · Sensors
24. Structural Seismic Response Reconstruction Using Physics-Guided Neural Networks
    Yao Hu, Wei Guo · 2023 · International Journal of Structural Stability and Dynamics
25. Unlocking the potential: A comprehensive meta-synthesis of Internet of Things in the sports industry
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26. A Cepstrum-Informed neural network for Vibration-Based structural damage assessment
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27. Deep convolutional generative adversarial network-based synthesis of datasets for road pavement distress segmentation
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28. A Review on Technological Advancements in the Field of Data Driven Structural Health Monitoring
    Rakesh Katam, Prafulla Kalapatapu, Venkata Dilip Kumar Pasupuleti · 2022 · Lecture notes in civil engineering
29. Optimal Fuzzy Wavelet Neural Network Based Road Damage Detection
    Mohammad Alamgeer, Hend Khalid Alkahtani, Mashael Suliaman Maashi, Mahmoud Othman, Anwer Mustafa Hilal, Mohamed Ibrahim Alsaid, Azza Elneil Osman, Amani A. Alneil · 2023 · IEEE Access
30. A Vision and Proof of Concept for New Approach to Monitoring for Safer Future Smart Transportation Systems
    Kent X. Eng, Yang Xie, Mauricio Pereira, Zygmunt J. Haas, Samir Ranjan Das, Petar M. Djurić, Branko Glišić, Milutin Stanaćević · 2024 · Sensors
31. Rural road surface distress detection algorithm based on mask R-CNN with data augmentation
    Dongfang Li, Hang Zhang, Longjin Chen, Yu Zhou, Yulong Li, Ren Qian, Yue Jiang · 2025 · Frontiers in Built Environment
32. Exploring Purpose-Driven Methods and a Multifaceted Approach in Dam Health Monitoring Data Utilization
    Zhanchao Li, Ebrahim Yahya Khailah, Xingyang Liu, Jiaming Liang · 2025 · Buildings
33. Identification of Grain Oriented SiFe Steels Based on Imaging the Instantaneous Dynamics of Magnetic Barkhausen Noise Using Short-Time Fourier Transform and Deep Convolutional Neural Network
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34. A new framework for damage detection of steel frames using burg autoregressive and stacked autoencoder-based deep neural network
    Viet‐Linh Tran · 2022 · Innovative Infrastructure Solutions
35. A review of bridge health monitoring based on machine learning
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36. Damage Detection with Data-Driven Machine Learning Models on an Experimental Structure
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37. Predicting low-cycle fatigue-induced fracture in reinforcing bars: A CNN-based approach
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38. Machine learning-driven advancements in structural health monitoring: comprehensive multi-state classification for three-dimensional structures
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39. Dataset for developing deep learning models to assess crack width and self-healing progress in concrete
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40. Structural Health Monitoring Data Analysis Using Deep Learning Techniques
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41. Damage identification for steel frame structures based on improved one-dimensional depthwise separable convolutional neural network
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42. Review of Research on Prediction Models for Residual Life of Concrete Structures
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43. Automated Two-Stage Approach for Damage Detection of Surface Defects in Historical Buildings
    Wanpeng Shao, Ken’ichi Kakizaki, Shunsuke Araki, Tomohisa Mukai · 2022 · IEEE Annual International Computer Software and Applications Conference (COMPSAC)
44. Transforming Simulated Data into Experimental Data Using Deep Learning for Vibration-Based Structural Health Monitoring
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45. Increasing the Reliability of Industrial Overhead Cranes by Structural Health Monitoring
    Jeroen Van Wittenberghe, Vitor Adriano, Okan Yilmaz, Filip Van den Abeele · 2024 · Procedia Structural Integrity
46. Damage identification of honeycomb sandwich structures based on Lamb waves and 1D-CNN
    Wenchao Zhang, Chenhui Su, Yanling Zhang, Yuhang Zhang, Pujun Yuan, Weichao Gao · 2024 · Materials Today Communications
47. Artificial Intelligence-Driven Structural Health Monitoring: Challenges, Progress, and Applications
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48. Domain adaptation based automatic identification method of vortex induced vibration of long-span bridges without prior information
    Chunfeng Wan, Jiale Hou, Guangcai Zhang, Shuai He Gao, Youliang Ding, Sugong Cao, Hao Hu, Songtao Xue · 2024 · Engineering Applications of Artificial Intelligence
49. Data Prediction Model Based on LSTM Neural Network in Bridge Health Monitoring System
    Shihui Xiao, Shengfang Qiao, Hang Chen, Xi Liu, Yue Li, Mengxiong Tang, Hesong Hu, Gaotang Li · 2021 · IOP Conference Series Earth and Environmental Science
50. A Systematic Review of Structural Health Monitoring Using Artificial Neural Networks: From Traditional Neural Networks to Deep Learning Algorithms.
    A. Doaa M. Atia, Mohammadreza Vafaei, Kong Fah Tee, Sophia C Aliah · 2024 · Research Square
51. Artificial Intelligence in Damage Detection of Concrete Structures: Techniques, Integration and Future Directions
    Salim Barbhuiya, Bibhuti Bhusan Das · 2025 · Springer tracts in civil engineering
52. Mechanical state estimation with a Polynomial-Chaos-Based Statistical Finite Element Method
    Vahab B. Narouie, Henning Wessels, Fehmi Cirak, Ulrich Römer · 2025 · Computer Methods in Applied Mechanics and Engineering
53. Review on strain transfer effects based on material properties for flexible sensors in structural health monitoring
    Shun Weng, Junshu Zhang, Ke Gao, Hongping Zhu, Zhiyue Zhang, Chaojun Chen · 2025 · Smart Materials and Structures
54. Current status and future challenges on performance evaluation of reinforcement‐concrete bond and the interfacial deterioration using piezo impedance‐based SHM (PISHM)
    Lukesh Parida, Sauvik Banerjee, Sumedha Moharana · 2025 · Structural Concrete
55. Transfer Learning-Based Detection of Pile Defects in Low-Strain Pile Integrity Testing
    Övünç Öztürk, Tuğba Özacar, Bora Canbula · 2025 · Applied Sciences
56. MAML Bridges the Data Gap in Deep Learning-Based Structural Health Monitoring
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57. Artificial Intelligence Empowering the Transformation of Building Maintenance: Current State of Research and Knowledge
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58. Physics-Guided Self-Supervised Few-Shot Learning for Ultrasonic Defect Detection in Concrete Structures
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59. State of the art for knowledge transfer in bridge structural health monitoring: Methodology, applications, and challenges
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60. Evaluation of MobileNetV3-Large for crack classification across low- and high-resolution images
    Liujie Chen, Haodong Yao, Ke Gan, Zanyu Huang, Jing Zhang, Ching‐Tai Ng, Jiyang Fu · 2025 · Frontiers in Built Environment
61. Field-Validated Digital Twin–Enabled Structural Health Monitoring for Offshore High-Pile Wharves
    Seyed Reza Samaei, James Riffat · 2026 · Future Cities and Environment
62. Detection of Anomalies in Additively Manufactured Metal Parts Using CNN and LSTM Networks
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63. Vibration-based structural damage localization through a discriminant analysis strategy with cepstral coefficients
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64. Multimodal ML Strategies for Wind Turbine Condition Monitoring in Heterogeneous IoT Data Environments
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65. Eliminating thermal responses of stay cables by partially missing sensors toward more reliable and robust SHM
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66. Damage Detection and Localization Methodology Based on Strain Measurements and Finite Element Analysis: Structural Health Monitoring in the Context of Industry 4.0
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67. Few-Shot Learning Augmented with Image Transformation for Multiclass Structural Damage Classification
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68. Integrating DL-based surrogate within an Interacting Particle Ensemble Kalman Filtering framework for computationally efficient condition monitoring of FOWT moorings
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69. Structural Health Monitoring of Additively Manufactured Parts by Combining Infill Design, Multiple Pulse Width Excitation (MPWE), and Deep Learning
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70. Analysis of Force Sensing Accuracy by Using SHM Methods on Conventionally Manufactured and Additively Manufactured Small Polymer Parts
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71. Impact Events for Structural Health Monitoring of a Plastic Thin Plate
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72. A Unified Mixed Deep Neural Network for Fatigue Damage Detection in Components with Different Stress Concentrations
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73. Machine Learning Electrocardiogram for Mobile Cardiac Pattern Extraction
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74. Structural Control and Health Monitoring Contributions to Service‐life Extension of Bridges
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75. CLASSIFICATION AND COMPUTING THE DEFECTED AREA OF KNOTS IN WOODEN STRUCTURES USING IMAGE PROCESSING AND CNN
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76. A dilated convolution‐based method with time series fine tuning for data‐driven crack length estimation
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77. Intelligent quantitative assessment of concrete cracks: adaptive data-driven dynamic segmentation model and damage grading architecture
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78. Spatial condition monitoring in rotating machinery using LC-tuned piezoelectric arrays and multi-task CNN
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79. Structural Health Monitoring Using Image Processing and Advanced Technologies for the Identification of Deterioration of Building Structure: A Review
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81. Comprehensive Review of Artificial Intelligence for Image- and Signal-Based Nondestructive Testing in Aerospace Structures
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82. Deep Learning for Detection and Characterization of Cracking in Ultra-High-Performance Concrete
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83. Cross-domain transfer learning for vibration-based damage classification via convolutional neural networks
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84. Integrated Estimation of Stress and Damage in Concrete Structure Using 2D Convolutional Neural Network Model Learned Impedance Responses of Capsule-like Smart Aggregate Sensor
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85. A review of concrete bridge surface defect detection based on deep learning
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86. Structural Damage Identification Based on Convolutional Neural Network Group Considering the Sensor Fault
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87. Data-informed statistical finite element analysis of rail buckling
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88. Convolutional Autoencoder-Based Damage Detection for Urban Railway Tracks Using an Ultra-Weak FBG Array Monitoring System
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89. Optimal Sensor Placement for Enhanced Efficiency in Structural Health Monitoring of Medium-Rise Buildings
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90. Multi-Feature Extraction and Explainable Machine Learning for Lamb-Wave-Based Damage Localization in Laminated Composites
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91. Enhancing the safety and sustainability of aging jacket-type offshore wind turbines in extreme weather conditions through digital healthcare engineering: a literature review
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92. Road Crack Acquisition and Analysis System Based on Mobile Robot and Deep Learning
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93. Classification Functions and Optimization Algorithms for Debonding Detection in Adhesively Bonded Lap-joints through Ultrasonic Guided Waves
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94. Emerging role of unmanned aerial vehicles (UAVs) for disaster management applications
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95. System Condition Monitoring Based on a Standardized Latent Space and the Nataf Transform
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96. Data‐driven approach to design fatigue‐resistant notched structures
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97. Unsupervised transfer learning for monitoring CFRP responses using discrete strains
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98. Strength monitoring and prediction of blended concrete systems from very early to delayed curing age using embedded piezo sensor data: An experimental and machine learning approach
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99. Optimal polar wavelet transform for damage detection in laminated composite circular plates
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100. Decoupling of vehicle-induced structural responses of highway bridges based on bipartite matching U- Net
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