Structural Health Monitoring-An International Journal

Papers
(The median citation count of Structural Health Monitoring-An International Journal is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-09-01 to 2025-09-01.)
ArticleCitations
A novel fault evaluation method based on nonlinear vibration features and Euclidean distance measurement for grid-like structures230
Structural nonlinear damage identification based on the information distance of GNPAX/GARCH model and its experimental study151
Interpretable convolutional sparse coding method of Lamb waves for damage identification and localization131
Modeling of an aircraft structural health monitoring sensor network for operational impact assessment76
Hybrid artificial intelligence-based inference models for accurately predicting dam body displacements: A case study of the Fei Tsui dam74
Multimodal feature fusion for detecting debonding in FRP-reinforced concrete interfaces using dual-branch CNN60
Model uncertainty quantification of a degradation model of miter gates using normalizing flow-based likelihood-free inference56
20 years of monitoring of a steel jacket offshore platform: variability of environmental and modal parameters55
A novel edge intelligence application model with lightweight network and antinoise ability for bearing fault diagnosis55
Multi-modal model updating of miter gates on navigational locks55
Imaging cracks in orthotropic steel decks based on guided wave and variational Bayesian robust principal component analysis52
Vibration-based monitoring of a super tall building with TMD during typhoon Ampil52
Meta-model structural monitoring with cutting-edge AAE-VMD fusion alongside optimized machine learning methods50
Entire loosening stage monitoring of bolted joints via nonlinear electro-mechanical impedance spectroscopy49
Analysis of the galleries cracking causes in the backfill area of pumped storage power station based on monitoring and numerical simulation: a case study of Hohhot upper reservoir46
U2CrackNet: a deeper architecture with two-level nested U-structure for pavement crack detection46
Small-sample damage detection of bleacher structure based on GAN and MSS-CNN models46
Multi-level damage diagnosis on stiffened composite panels based on a damage-uninformative digital twin45
Wind turbine gearbox fault diagnosis via adaptive IMFogram44
Potential and limitations of NARX for defect detection in guided wave signals44
An intelligent detection approach for multi-part cover based on deep learning under unbalanced and small size samples43
Bayesian system identification considering the spatial correlation of distributed loads43
Extracting and identifying essential characteristics of gear pitting and cracks with consideration of fault mechanisms40
Multivariate variational mode decomposition and generalized composite multiscale permutation entropy for multichannel fault diagnosis of hoisting machinery system39
Enhancing Lamb wave-based damage diagnosis in composite materials using a pseudo-damage boosted convolutional neural network approach38
Laboratory and field experiment validations on the use of hydraulic transients for estimating buried water pipeline deterioration37
Heterogeneous structural responses recovery based on multi-modal deep learning37
Percussion-based loosening detection method for multi-bolt structure using convolutional neural network DenseNet-CBAM37
Dynamical modeling of spur gear with pitting based on image processing tooth surface37
Bridge inspection component registration for damage evolution37
Physics-informed deep learning for scattered full wavefield reconstruction from a sparse set of sensor data for impact diagnosis in structural health monitoring35
Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: a new full-scale dataset for structural health monitoring35
Vibration-based structural damage localization through a discriminant analysis strategy with cepstral coefficients34
Looseness monitoring of multiple M1 bolt joints using multivariate intrinsic multiscale entropy analysis and Lorentz signal-enhanced piezoelectric active sensing34
Bridge damage detection using unsupervised learning with vehicle-induced vibrations34
Leakage aperture identification of natural gas pipeline based on compressed acquisition and DSAE33
Railway defect detection based on track geometry using supervised and unsupervised machine learning33
A novel adaptive boosting algorithm with distance-based weighted least square support vector machine and filter factor for carbon fiber reinforced polymer multi-damage classification33
Semantic segmentation model for concrete cracks based on parallel Swin-CNNs framework33
Quantifying the extent of local damage of a 60-year-old prestressed concrete bridge: A hybrid SHM approach32
Interval prediction method for dynamic zoning of displacements in super-high arch dam under significant water level fluctuations30
Temperature compensation to guided wave-based monitoring of bolt loosening using an attention-based multi-task network30
A lightweight deep learning network based on knowledge distillation for applications of efficient crack segmentation on embedded devices30
An integrated deep neural network model combining 1D CNN and LSTM for structural health monitoring utilizing multisensor time-series data29
Aging state detection of viscoelastic sandwich structure using redundant second generation wavelet packet transform and fuzzy support vector data description27
Addressing practicalities in multivariate nonlinear regression for mitigating environmental and operational variations27
Hierarchical verification and validation in a forward model-driven structural health monitoring strategy27
Physically meaningful uncertainty quantification in probabilistic wind turbine power curve models as a damage-sensitive feature27
Long-term creep monitoring of composite wing leading edge using embedded fiber Bragg grating27
Time series analysis and sparse sensor network-based impact monitoring for aircraft complex structures27
A semisupervised fault frequency analysis method for rotating machinery based on restricted self-attention network26
Crack detection based on deep learning: a method for evaluating the object detection networks considering the random fractal of crack26
Adaptive fault components extraction based on physically interpretable optimized weight time–frequency matrix index and its applications in rotating machinery fault diagnosis25
Subdomain cointegration method for early damage warning of bridges considering nonlinear and nonstationary modal variabilities25
Prototype-assisted multiscale graph representation learning-based mechanical fault detection method under complex operating conditions25
A remaining useful life prediction approach for ball bearing by acoustic emission signal and physics-informed neural network25
Monitoring data motivated health condition assessment of cement concrete pavements in field based on FBG sensing technology25
Intelligent fault diagnosis of rotating machinery under variable working conditions based on deep transfer learning with fusion of local and global time–frequency features24
Rolling bearing signal monitoring and diagnosis based on global arc length entropy24
Cubic spline interpolation-based refined composite multiscale dispersion entropy and its application to bearing fault identification24
Development of a novel real-time AE source localisation technique using ANN for health monitoring of rail section: an experimental study24
An unsupervised multiclass fault diagnosis method and application based on affine-invariant Riemannian metric and spectral clustering24
Towards high-precision data modeling of SHM measurements using an improved sparse Bayesian learning scheme with strong generalization ability23
Displacement response estimation of a cable-stayed bridge subjected to various loading conditions with one-dimensional residual convolutional autoencoder method23
Distributed fiber optic strain sensing for crack detection with Brillouin shift spectrum back analysis22
Fast Tomography: A greedy, heuristic, mesh size–independent methodology for local velocity reconstruction for AE waves in distance decaying environment in semi real-time22
Automatic identification of early strength of high-performance concrete based on micro-impedance sensing system and deep learning method22
Absolute maximum slope difference method for NPW real-time localization of leakage in pipelines22
Interpretable Siamese dual attention enhancement transfer compound diagnostic model for unbalanced samples22
Modeling and designing of a phased array comprising piezoelectric stack transducer for ultrasonic Lamb wave-based damage detection22
Spatial electric potential distributions and damage mapping in 3D carbon fiber/epoxy angle-interlock woven composites with different current directions22
Structural performance assessment considering both observed and latent environmental and operational conditions: A Gaussian process and probability principal component analysis method22
An in situ prepared fiber-based piezoresistive film for ultrasonic wave detection on nonplanar carbon fiber-reinforced composites21
Nanocomposite sensors with indium tin oxide nanowires in a polyvinyl butyral matrix for crack detection in structural health monitoring21
Rolling bearings fault diagnosis under various loads conditions based on GWJO-VMD-MAFCNN21
Damage diagnosis of plates and shells through modal parameters reconstruction using inverse finite-element method21
Regional-scale bridge health monitoring: survey of current methods and roadmap for future opportunities under changing climate21
Experimental and numerical investigations on the acoustoelastic effect in hyperelastic waveguides21
A value-of-information-based optimal sensor placement design framework for cost-effective structural health monitoring (with application to miter gate monitoring)21
Compound fault diagnosis method for rolling bearings based on enhanced MED and adaptive periodized symplectic geometry mode decomposition21
Test accuracy requirements for optimal decision-making in management of post-tensioned concrete bridges20
Adaptive Autoregressive Modelling Based Structural Health Monitoring of RC Beam-Column Joint Subjected to Shock Loading20
Condition assessment of cable-stayed bridges based on heterogeneous data correlation mining using multichannel spatiotemporal graph convolutional network20
Tunnel lining water leakage image Segmentation based on improved BlendMask20
Dynamic characteristics analysis and the identification signal of the horizontal tail drive shaft system with the ballistic impact damage of a helicopter20
Novel approaches of synchronous averaging of gear and bearing vibrations20
Distributed detection of internal cavities in concrete-filled steel tube arch bridge elements20
Advancing measurement of zero-group-velocity Lamb waves using PVDF-TrFE transducers: first data and application to in situ health monitoring of multilayer bonded structures20
Bearing fault detection system based on a deep diffusion model19
Wheel flat detection on railway vehicles using the angular domain synchronous averaging method: an experimental study19
On the use of Vibrational Hill Charts for improved condition monitoring and diagnosis of hydraulic turbines19
Deep CNN-based semi-supervised learning approach for identifying and segmenting corrosion in hydraulic steel and water resources infrastructure19
A framework for the performance evaluation of reconfigurable ultrasonic sparse array networks19
A novel methodology for quantitative identification of pipeline leakage and negative pressure wave velocity19
Missing data estimation method for durability survey of reinforced concrete structures19
Semi-Markov process-driven maintenance scheduling for Tainter gate system considering multiple limit states19
A multiscale inversion algorithm for engineering inspection using GPR data19
ADACTA—Advanced component analysis technique for damage detection19
Reliability-based metrics for structural health monitoring information quality assessment19
Embeddable elasto-magnetic sensor-based residual tension estimation method of ground anchors for slope stability monitoring using irreversibility of magnetic permeability under various loading conditi18
A novel data-driven bridge monitoring data prediction framework using improved intelligent optimization-assisted deep learning18
Unsupervised data normalization for continuous dynamic monitoring by an innovative hybrid feature weighting-selection algorithm and natural nearest neighbor searching18
Physics-guided neural networks applied in rotor unbalance problems18
Anomaly characterization for the condition monitoring of rotating shafts exploiting data fusion and explainable convolutional neural networks18
Experimental validation of automated OMA and mode tracking for structural health monitoring of transmission towers18
Fatigue assessment of bridges using interacting filtering approach with sub-structured predictor model based on current health18
Model updating method for offshore jacket platforms using improved DNN and OOA considering non-uniform corrosion and structural responses18
Deformation measurement of aero-engine rotating twisted blade based on multi-vision overlapping area feature registration method18
Characterization of OFDR distributed optical fiber for crack monitoring considering fiber-coating interfacial slip18
Void damage detection of rubber bearings in bridge structures under laboratory conditions using the active sensing method and BO-XGBoost algorithm18
Adaptive dynamic mode decomposition and its application in rolling bearing compound fault diagnosis17
Enhanced hierarchical symbolic sample entropy: Efficient tool for fault diagnosis of rotating machinery17
High-fidelity fault signature extraction of rolling bearings via nonconvex regularized sparse representation enhanced by flexible analytical wavelet transform17
A method combining dynamic path matching with multipath adaptive drift Lévy stable motion for performance degradation prediction17
Flexible iterative generalized demodulation filtering for the fault diagnosis of rotating machinery under nonstationary conditions17
A convolutional neural network for pipe crack and leak detection in smart water network16
Full-field expansion and damage detection from sparse measurements using physics-informed variational autoencoders16
A two-step computer vision-based framework for bolt loosening detection and its implementation on a smartphone application16
Underwater bolted flange looseness detection using percussion-induced sound and Feature-reduced Multi-ROCKET model16
Semi-supervised learning for efficient water leakage segmentation in tunnel infrastructure16
Fatigue damage analysis of a Kaplan turbine model operating at off-design and transient conditions16
Intelligent defect location of a U-shaped boom using helical guided waves16
SAR-Nbeats-based temperature interpretation and prediction of InSAR time-series deformations for bridges16
Generalized zero-shot bearing compound fault diagnosis based on reserved gate pre-classifier and physical information semantics16
Damage identification in structures using dynamic mode decomposition for vibration analysis of low-resolution videos16
Robust correlation mapping of train-induced stresses for high-speed railway bridge using convolutional denoising autoencoder16
Identification of damaged member in a truss structure using acoustic emission technique aided by SVM15
Monitoring deformations of infrastructure networks: A fully automated GIS integration and analysis of InSAR time-series15
Crack damage monitoring for compressor blades based on acoustic emission with novel feature and hybridized feature selection15
On cross-attention-based graph neural networks for fault diagnosis using multi-sensor measurement15
Tensile and vibration fatigue monitoring of composite laminate bolted joints with local enhancement using buckypaper sensors15
A comparison of ultrasonic temperature monitoring using machine learning and physics-based methods for high-cycle thermal fatigue monitoring15
Multibolt looseness monitoring of steel structure based on multitask active sensing method and substructure cross-domain transfer learning15
A time-saving fault diagnosis using simplified fast GAN and triple-type data transfer learning15
Automatic pipeline fault detection using one-dimensional convolutional bidirectional long short-term memory networks with wide first-layer kernels15
Adaptive wind turbine blade surface defect detection based on deep learning and transfer learning15
Neural extended Kalman filters for learning and predicting dynamics of structural systems15
A comprehensive study of techniques utilized for structural health monitoring of oil and gas pipelines15
A likelihood-free Bayesian approach for characterisation of multiple delaminations in laminated composite beams15
A robust entropy-based sparsity measure for health monitoring of rotating machinery15
An iterative morphological difference product wavelet for weak fault feature extraction in rolling bearing fault diagnosis15
Vision-guided crack identification and size quantification framework for dam underwater concrete structures14
SHM-informed life-cycle intelligent maintenance of fatigue-sensitive detail using Bayesian forecasting and Markov decision process14
Enhancing automated health monitoring of road infrastructure through a hierarchical robust deep learning approach14
Detecting delamination of concrete cover using movable PZT sensors and baseline-free electromechanical impedance techniques14
A novel feature extraction method based on symbol-scale diversity entropy and its application for fault diagnosis of rotary machines14
Deep learning-based concrete defects classification and detection using semantic segmentation14
Locating cracks in smart TRC elements based on the TDR concept14
Pattern recognition in electromechanical impedance spectroscopy damage detection of adhesive joints using multidimensional scaling14
A geometrical morphology-enhanced computer vision approach for structural health assessment14
Physics-guided neural network for structural health monitoring with lamb waves through boundary reflection elimination14
A bearing fault diagnosis method based on M-SSCNN and M-LR attention mechanism14
Feature map field fusion of guided wave vibrometer data for increased fault localization capability14
A multitask framework with self-attention mechanism for simultaneous detection of axial pressure, shear deformation, and rupture damage in rubber bearings14
An optimal candidate fault frequency periodicity index optimization-gram for bearing fault diagnosis14
Kolmogorov-Arnold networks for industrial machine health monitoring with continual learning capability using time-series vibration data13
Bayesian data-driven framework for structural health monitoring of composite structures under limited experimental data13
Unsupervised deep learning method for bridge condition assessment based on intra-and inter-class probabilistic correlations of quasi-static responses13
Research on multimodal techniques for arc detection in railway systems with limited data13
Integrating the maximum mean discrepancy metric with time–frequency enhanced convolutional neural networks for fault diagnosis13
Probabilistic damage analysis of rebar corrosion in recycled aggregate concrete using sideband intensity-based nonlinear ultrasonic technique13
Adaptive resize-residual deep neural network for fault diagnosis of rotating machinery13
Compound damage detection using wavelet transform and deep neural network trained on healthy and single damage states: Validation on a laboratory-scale offshore jacket model13
A novel acoustic emission sensor design and modeling method for monitoring the status of high-speed train bearings13
Bolt load looseness measurement for slip-critical blind bolt by ultrasonic technique: a feasibility study with calibration and experimental verification13
Conditional disentangled representation augmentation network for imbalanced domain generalization fault diagnosis of rotating machinery13
Online health monitoring of rotating machine elements using statistical spectral distances13
An improved approach for compressive sensing of vibration signals considering spectral leakage effect13
Quantitative blade damage detection based on multisource domain and multistage joint transfer13
Blade crack detection based on domain adaptation and autoencoder of multidimensional vibro-acoustic feature fusion13
Global-local optimization layout method for active piezoelectric sensor driven by structural critical areas13
Multi-type damage localization using the scattering coefficient-based RAPID algorithm with damage indexes separation and imaging fusion13
Comparison of neural networks based on accuracy and robustness in identifying impact location for structural health monitoring applications13
Towards smart monitoring of systems: an integrated non-parametric Bayesian KDE and LSTM approach for anomaly detection of rotating machinery under uncertainties13
A dual-sensor AE localization method for damaged steel tendon in prestressed concrete girders using waveguide rods13
Identification of bridge influence line and multiple-vehicle loads based on physics-informed neural networks13
A novel Lamb wave-based multi-damage dataset construction and quantification algorithm under the framework of multi-task deep learning13
Damage location diagnosis of frame structure based on wavelet denoising and convolution neural network implanted with Inception module and LSTM12
A hybrid attention hierarchical network-based extreme event detection method for structural health monitoring12
Damage monitoring of glass/epoxy-curved laminates with different stacking sequences using acoustic emission12
Optimal tuning of three deep learning methods with signal processing and anomaly detection for multi-class damage detection of a large-scale bridge12
Separate modeling technique for deformation monitoring of concrete dams12
Fault diagnosis method for high-speed train axlebox bearings based on the joint driving of bearing dynamics simulation and experimental data12
Incipient Fault Detection of Helical Gearbox Based on Variational Mode Decomposition and Time Synchronous Averaging12
Statistics-based baseline-free approach for rapid inspection of delamination in composite structures using ultrasonic guided waves12
Interpretable research on the health monitoring network of prefabricated building beam–column joints12
A novel high-precision lightweight concrete bridge crack image recognition method based on knowledge distillation12
Pitting corrosion diagnostics and prognostics for miter gates using multiscale simulation and image inspection data12
A fault source localization method for aircraft engine casing with dual-sensors based on acoustic emission12
Reliability analysis of complex structures based on Bayesian inference12
Adaptive and cross-attention Vision Transformer-based transfer network for elevator fault diagnosis toward unbalanced samples12
Intelligent perception and early warning for deterioration of prestressed concrete box-girder bridges via the variation mining of mapping from vehicle load to structural displacement12
Quantitative detection of typical bridge surface damages based on global attention mechanism and YOLOv7 network12
Attention-enhanced spatiotemporal deep learning-based automatic warning model with uncertainty estimation in dam safety12
Enhanced Bayesian sparse representation of mechanical fault signals by structural feature-oriented matching composite dictionary construction12
Optical phase mode analysis method for pipeline bolt looseness identification using distributed optical fiber acoustic sensing11
Research on compound faults identification of aeroengine inter-shaft bearing based on CCF–Complexity–VMD–SVD11
A multi-order moment matching-based unsupervised domain adaptation with application to cross-working condition fault diagnosis of rolling bearings11
Long-term ultrasonic monitoring of concrete affected by alkali-silica reaction11
Restoration of missing structural health monitoring data using spatiotemporal graph attention networks11
Application of covariance statistical method for damage identification on railway truss bridge using acceleration response: experimental and numerical validation11
ESPKARN: a multichannel framework for bearing fault diagnosis in the presence of imbalanced samples11
Acoustic monitoring of wind turbine blades using wavelet packet analysis and 1D convolutional neural networks11
An unsupervised context-free forecasting method for structural health monitoring by generative adversarial networks with progressive growing and self-attention11
A semi-supervised learning framework fusing multi-sensor visual features for ship propulsion shafting fault diagnosis11
A rolling bearing fault diagnosis method based on a convolutional neural network with frequency attention mechanism11
An unsupervised transfer learning bearing fault diagnosis method based on multi-channel calibrated Transformer with shiftable window11
Time-frequency analysis-based impulse feature extraction method for quantitative evaluation of milling tool wear11
Damage detection and location using a simulated annealing-artificial hummingbird algorithm with an improved objective function11
A novel index for vibration-based damage detection technique in laminated composite plates under forced vibrations: experimental study11
Fisher embedding shift-invariant dictionary learning for weak feature recognition in bearing health monitoring11
Health monitoring of automotive clutch system through feature fusion and application of tree-based classifiers11
SHM system development for molten salt test loop11
Data quality evaluation for bridge structural health monitoring based on deep learning and frequency-domain information11
Measurement of crack width from the two-dimensional sonar images of the moss-covered surface of underwater concrete components based on K-means clustering11
Enhancing the understanding of bolt loosening and wave transmission in bolted lap-joint connections: a numerical and experimental study using guided Lamb waves11
Real-time quantitative evaluation on the cable damage of cable-stayed bridges using the correlation between girder deflection and temperature11
Model-based damage identification with simulated transmittance deviations and deep learning classification11
Nondestructive detection for carbon fiber-reinforced polymer pipes based on capacitive coupling principle and auto-balancing impedance measurement11
An output-only damage identification method based on reinforcement-aided evolutionary algorithm and heterogeneous response reconstruction11
Bolt-loosening Fault Diagnosis in Rotor Systems with Nonlinear Vibration Transmissibility Function-based Features and Indexes10
An unsupervised transfer network with adaptive input and dynamic channel pruning for train axle bearing fault diagnosis10
Unsupervised learning-based data cleaning framework for structural health monitoring using GoogLeNet and clustering models10
Efficient attention-based deep encoder and decoder for automatic crack segmentation10
A method for detection of delamination depth position within composite laminates based on 2D continuous wavelet transform and CNN10
Automated vision-based bolt loosening detection and localization for operating hydraulic turbine rotors10
Bolt-loosening detection in offshore wind turbines’ jacket-type supports10
A novel domain adaptation method for drive-by railway track monitoring using progressive distribution alignment based on label correction10
Non-destructive testing for thickness measurement of the adhesive layer and defect detection in ceramic-metal bonded structures using THz waves10
Compatibility and challenges in machine learning approach for structural crack assessment10
Impact time history reconstruction using dynamic weighted graph neural network under sensor fault situations10
A data-driven real-time evaluation method for safety risk of the anti-seepage system in high-core rockfill dams10
A convolutional multisensor fusion fault diagnosis framework based on multidimensional distance matrix for rotating machinery10
Bearing fault diagnosis method based on improved meta-ResNet and sample weighting under noise label10
The harmonic modulation bispectrum: a modulated vibration signal analysis method for compound fault diagnosis of gearboxes10
Challenges in assessing corrosion damage in reinforced concrete beams by vibration-based monitoring: literature analysis and experimental study10
Vibration-based Damage Localization and Quantification Framework of Large-Scale Truss Structures10
Early detection of fatigue-induced material changes by modulation of ultrasound in dynamically loaded structures10
Guidelines for effective unsupervised guided wave compression and denoising in long-term guided wave structural health monitoring10
The multi-channel signals based tensor sparse representation classification method for fault diagnosis of high-speed train10
An unsupervised online anomaly detection method for metal additive manufacturing processes via a statistical time-frequency domain algorithm10
Composite perception fusion detection framework for preoperational inspection of large-diameter pipelines10
Feature pyramid network with self-guided attention refinement module for crack segmentation10
Heterogeneous data fusion for the improved non-destructive detection of steel-reinforcement defects using echo state networks10
An LSTM-based detection model for breathing cracks with multiple damage positions and degrees of beam-like bridges under vehicle loads10
Corrigendum to Displacement behavior interpretation and prediction model of concrete gravity dams located in cold area10
Recursive parameter estimation for the on-line monitoring of delamination growth in composite structures10
Nonlinear damage identification method of transmission tower structure based on general expression for linear and nonlinear autoregressive model and Itakura distance10
Period-refined CYCBD using time synchronous averaging for the feature extraction of bearing fault under heavy noise10
Wavelet structuring element-based morphological filtering method in wire rope inspection signal denoising10
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