UAV vision-based crack quantification and visualization of bridges: system design and engineering application.
- Published in:
- Structural Health Monitoring, 2025, v. 24, n. 2, p. 1083, doi. 10.1177/14759217241251778
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- Publication type:
- Article
Works matching IS 14759217 AND DT 2025 AND VI 24 AND IP 2
Results: 34
1
2
A hierarchical Bayesian model updating method for bridge structures by fusing multi-source information.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 1292, doi. 10.1177/14759217241253361
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- Article
3
Small-sample damage detection of bleacher structure based on GAN and MSS-CNN models.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 1122, doi. 10.1177/14759217241252756
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- Article
4
Modeling and designing of a phased array comprising piezoelectric stack transducer for ultrasonic Lamb wave-based damage detection.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 1241, doi. 10.1177/14759217241252482
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- Article
5
Comprehensive assessment and monitoring of bond deterioration in GFRP-reinforced concrete beams using guided wave and acoustic emission techniques.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 1101, doi. 10.1177/14759217241252084
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- Article
6
Interpretable domain adaptation transformer: a transfer learning method for fault diagnosis of rotating machinery.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 1187, doi. 10.1177/14759217241249656
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- Publication type:
- Article
7
Reference-free absolute strain estimation using longitudinal waves and relative strain measurements.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 1260, doi. 10.1177/14759217241249433
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- Article
8
Validation of a ray-tracing-based guided Lamb wave propagation methodology in aerostructures.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 1043, doi. 10.1177/14759217241249056
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- Article
9
Two-step vibration-based machine learning model for the fault detection and diagnosis in rotating machine and its blind application.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 1029, doi. 10.1177/14759217241249055
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- Publication type:
- Article
10
Experimental validation of automated OMA and mode tracking for structural health monitoring of transmission towers.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 1272, doi. 10.1177/14759217241249048
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- Publication type:
- Article
11
Identification of bridge influence line and multiple-vehicle loads based on physics-informed neural networks.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 1167, doi. 10.1177/14759217241248570
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- Article
12
A rolling bearing fault diagnosis method based on interactive generative feature space oversampling-based autoencoder under imbalanced data.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 979, doi. 10.1177/14759217241248209
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- Publication type:
- Article
13
Polar coordinate-based guided wave beamforming imaging using scanning LDV.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 963, doi. 10.1177/14759217241248047
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- Article
14
Tacho-less spur gear condition monitoring at variable speed operation using the adaptive application of variational mode extraction.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 1201, doi. 10.1177/14759217241247867
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- Publication type:
- Article
15
Incipient bearing fault detection using adaptive fast iterative filtering decomposition and modified Laplace of Gaussian filter.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 909, doi. 10.1177/14759217241246985
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- Article
16
Quantitative detection of typical bridge surface damages based on global attention mechanism and YOLOv7 network.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 941, doi. 10.1177/14759217241246953
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- Publication type:
- Article
17
Bolt loosening angle detection through arrangement shape-independent perspective transformation and corner point extraction based on semantic segmentation results.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 761, doi. 10.1177/14759217241246643
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- Publication type:
- Article
18
Deep learning neural networks with input processing for vibration-based bearing fault diagnosis under imbalanced data conditions.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 883, doi. 10.1177/14759217241246508
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- Publication type:
- Article
19
A novel attached-spring model for damage quantification and degradation evaluation of short/mid-span bridges.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 853, doi. 10.1177/14759217241246504
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- Publication type:
- Article
20
A novel procedure for cable damage identification of cable-stayed bridge using particle swarm optimization and machine learning.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 714, doi. 10.1177/14759217241246501
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- Publication type:
- Article
21
Recursive demodulated synchro spline-kernelled chirplet extracting transform: a useful tool for non-linear behavior estimation of non-stationary signal and application to wind turbine fault detection.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 1060, doi. 10.1177/14759217241246094
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- Publication type:
- Article
22
Generalized Shannon entropy sparse wavelet packet transform for fault detection of traction motor bearings in high-speed trains.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 998, doi. 10.1177/14759217241245320
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- Publication type:
- Article
23
A three-stage approach based on 1D-CNNs for AE source localisation on historic fibrous plaster ceilings.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 1224, doi. 10.1177/14759217241245309
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- Publication type:
- Article
24
A novel fiber Bragg grating-based smart clamp with macro strain measurement: design, modeling, and application to incipient looseness detection.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 1149, doi. 10.1177/14759217241245303
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- Publication type:
- Article
25
Multisource information fusion model for deformation safety monitoring of earth and rock dams based on deep graph feature fusion.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 925, doi. 10.1177/14759217241244549
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- Publication type:
- Article
26
A bearing fault diagnosis method based on M-SSCNN and M-LR attention mechanism.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 830, doi. 10.1177/14759217241244477
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- Article
27
Research on fault diagnosis method based on the Markov transition field with enhanced properties and AM-MSCNN under different external environmental interference.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 794, doi. 10.1177/14759217241243353
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- Publication type:
- Article
28
Multi-bolt looseness positioning using multivariate recurrence analytic active sensing method and MHAMCNN model.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 812, doi. 10.1177/14759217241243111
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- Article
29
High-order iterative rearrangement transform for time–frequency characterization of bearing fault impact.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 676, doi. 10.1177/14759217241242997
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- Article
30
A time-saving fault diagnosis using simplified fast GAN and triple-type data transfer learning.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 869, doi. 10.1177/14759217241241985
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- Publication type:
- Article
31
Channel-attention-based LSTM network for modeling temperature-induced responses of cable-stayed bridges.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 778, doi. 10.1177/14759217241241983
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- Publication type:
- Article
32
Loose bolt localization and torque prediction in a bolted joint using lamb waves and explainable artificial intelligence.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 693, doi. 10.1177/14759217241241976
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- Publication type:
- Article
33
Deep learning-based three-dimensional crack damage detection method using point clouds without color information.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 657, doi. 10.1177/14759217241236929
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- Article
34
Bayesian data-driven framework for structural health monitoring of composite structures under limited experimental data.
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- Structural Health Monitoring, 2025, v. 24, n. 2, p. 738, doi. 10.1177/14759217241236801
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- Publication type:
- Article