Augmented reality for enhanced visual inspection through knowledge-based deep learning.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 426, doi. 10.1177/1475921720976986
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Works in Structural Health Monitoring, 2021, Vol 20, Issue 1
Results: 24
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Unsupervised deep learning approach using a deep auto-encoder with a one-class support vector machine to detect damage.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 406, doi. 10.1177/1475921720934051
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- Article
3
A fast technique using output only to localize and quantify multiple damages for multi-degree-of-freedom systems.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 321, doi. 10.1177/1475921720932817
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- Article
4
Deep neural networks–based damage detection using vibration signals of finite element model and real intact state: An evaluation via a lab-scale offshore jacket structure.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 379, doi. 10.1177/1475921720932614
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- Article
5
Laser ultrasonic visualization technique using a fiber-optic Bragg grating ultrasonic sensor with an improved adhesion configuration.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 303, doi. 10.1177/1475921720932233
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- Article
6
Dynamic nonlinearities for identification of the breathing crack type damage in reinforced concrete bridges.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 339, doi. 10.1177/1475921720930990
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- Article
7
A dynamic structure-adaptive symbolic approach for slewing bearings' life prediction under variable working conditions.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 273, doi. 10.1177/1475921720929939
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- Article
8
Encoder-based weak fault detection for rotating machinery using improved Gaussian process regression.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 255, doi. 10.1177/1475921720929755
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- Article
9
Acousto-ultrasonics-based health monitoring for nano-engineered composites using a dispersive graphene-networked sensing system.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 240, doi. 10.1177/1475921720929749
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- Article
10
Parameter identification of a differentiable Bouc-Wen model using constrained extended Kalman filter.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 360, doi. 10.1177/1475921720929434
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- Article
11
Health condition identification for rolling bearing based on hierarchical multiscale symbolic dynamic entropy and least squares support tensor machine–based binary tree.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 151, doi. 10.1177/1475921720923973
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- Article
12
A non-contacting system for rail neutral temperature and stress measurements: Concept development.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 84, doi. 10.1177/1475921720923116
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- Article
13
Monitoring damage in composite plates from crack initiation to macro-crack propagation combining linear and nonlinear ultrasonic techniques.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 139, doi. 10.1177/1475921720922922
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- Article
14
Reliability of crack quantification via acousto-ultrasound active-sensing structural health monitoring using surface-mounted PZT actuators/sensors.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 219, doi. 10.1177/1475921720921536
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- Article
15
A new pinched nonlinear hysteretic structural model for automated creation of digital clones in structural health monitoring.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 101, doi. 10.1177/1475921720920641
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- Article
16
Damage detection with the fundamental mode of edge waves.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 74, doi. 10.1177/1475921720920314
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- Article
17
The use of ultrasonic guided waves for the inspection of square tube structures: Dispersion analysis and numerical and experimental studies.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 58, doi. 10.1177/1475921720919697
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- Article
18
Multiple load path damage detection with optical fiber Bragg grating sensors.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 46, doi. 10.1177/1475921720919678
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- Article
19
Performance degradation assessment of wind turbine gearbox based on maximum mean discrepancy and multi-sensor transfer learning.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 118, doi. 10.1177/1475921720919073
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- Article
20
Time reversal damage localization in concrete based on two-dimensional meso-scale modeling.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 188, doi. 10.1177/1475921720918374
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- Article
21
Method for removing temperature effect in impedance-based structural health monitoring systems using polynomial regression.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 202, doi. 10.1177/1475921720917126
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- Article
22
Laser ultrasonic monitoring of reversible/irreversible modification of a real crack under photothermal loading.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 173, doi. 10.1177/1475921720915164
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- Article
23
Lamb wave mode decomposition and reconstruction based on the viscoelastic propagation model.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 25, doi. 10.1177/1475921720914992
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- Article
24
Sparse Bayesian learning approach for propagation distance recognition and damage localization in plate-like structures using guided waves.
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- Structural Health Monitoring, 2021, v. 20, n. 1, p. 3, doi. 10.1177/1475921720902277
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- Article