| Computer vision and deep learning-based data anomaly detection method for structural health monitoring |
37 |
| Structural health monitoring: Closing the gap between research and industrial deployment |
35 |
| Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images |
33 |
| Crack and Noncrack Classification from Concrete Surface Images Using Machine Learning |
30 |
| Evaluation of deep learning approaches based on convolutional neural networks for corrosion detection |
28 |
| Feasibility of using digital image correlation for unmanned aerial vehicle structural health monitoring of bridges |
21 |
| Interfacial debonding detection in fiber-reinforced polymer rebar-reinforced concrete using electro-mechanical impedance technique |
21 |
| Optimization of sensor placement for structural health monitoring: a review |
21 |
| A novel deep learning-based method for damage identification of smart building structures |
20 |
| Guided wave excitation and propagation in damped composite plates |
17 |
| Fully automated vision-based loosened bolt detection using the Viola-Jones algorithm |
16 |
| An unsupervised learning approach by novel damage indices in structural health monitoring for damage localization and quantification |
15 |
| Development and application of a deep learning-based sparse autoencoder framework for structural damage identification |
14 |
| Deep learning-based autonomous concrete crack evaluation through hybrid image scanning |
14 |
| Bayesian multi-task learning methodology for reconstruction of structural health monitoring data |
14 |
| Deep variational auto-encoders: A promising tool for dimensionality reduction and ball bearing elements fault diagnosis |
14 |
| Automated region-of-interest localization and classification for vision-based visual assessment of civil infrastructure |
14 |
| Radar-based structural health monitoring of wind turbine blades: The case of damage detection |
14 |
| Railway bridge structural health monitoring and fault detection: State-of-the-art methods and future challenges |
14 |
| Data-driven damage diagnosis under environmental and operational variability by novel statistical pattern recognition methods |
12 |
| Insights into temperature effects on structural deformation of a cable-stayed bridge based on structural health monitoring |
12 |
| Micro-cracking monitoring and fracture evaluation for crumb rubber concrete based on acoustic emission techniques |
12 |
| An application of finite element model updating for damage assessment of a two-story reinforced concrete building and comparison with lidar |
12 |
| A spatio-temporal clustering and diagnosis method for concrete arch dams using deformation monitoring data |
11 |
| Reference-free detection of minute, non-visible, damage using full-field, high-resolution mode shapes output-only identified from digital videos of structures |
11 |
| Bolted joint integrity monitoring with second harmonic generated by guided waves |
11 |
| Monitoring of long-term prestress losses in prestressed concrete structures using fiber optic sensors |
10 |
| A crowdsourcing-based methodology using smartphones for bridge health monitoring |
10 |
| A novel electromechanical impedance-based model for strength development monitoring of cementitious materials |
10 |
| Convolutional neural network for gear fault diagnosis based on signal segmentation approach |
9 |
| IWSHM 2017: Structural health monitoring of the loosening in a multi-bolt structure using linear and modulated nonlinear ultrasound acoustic moments approach |
9 |
| Damage identification using modal strains identified from operational fiber-optic Bragg grating data |
9 |
| Wavelet packet energy-based damage identification of wood utility poles using support vector machine multi-classifier and evidence theory |
9 |
| Fatigue crack detection in pipes with multiple mode nonlinear guided waves |
8 |
| Combination forecast model for concrete dam displacement considering residual correction |
8 |
| Selective generation of ultrasonic guided waves in a bi-dimensional waveguide |
8 |
| A machine learning approach for the automatic long-term structural health monitoring |
8 |
| Toward identifying crack-length-related resonances in acoustic emission waveforms for structural health monitoring applications |
8 |
| Vibration-based damage detection using online learning algorithm for output-only structural health monitoring |
8 |
| Ensemble classification method for structural damage assessment under varying temperature |
8 |
| Integrity monitoring of adhesively bonded joints via an electromechanical impedance-based approach |
7 |
| Analyzing and modeling inter-sensor relationships for strain monitoring data and missing data imputation: a copula and functional data-analytic approach |
7 |
| Open Guided Waves: online platform for ultrasonic guided wave measurements |
7 |
| Strain and crack analysis within concrete members using distributed fibre optic sensors |
7 |
| Damage detection in carbon fiber-reinforced polymer composite via electrical resistance tomography with Gaussian anisotropic regularization |
7 |
| Bayesian structural identification of a long suspension bridge considering temperature and traffic load effects |
7 |
| Determination of railway track longitudinal profile using measured inertial response of an in-service railway vehicle |
7 |
| Rayleigh wave propagation and scattering characteristics at debondings in fibre-reinforced polymer-retrofitted concrete structures |
7 |
| Multimodal structural health monitoring based on active and passive sensing |
7 |
| Nonlinear ultrasonic detection for evaluating fatigue crack in metal plate |
7 |
