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 2021-11-01 to 2025-11-01.)
ArticleCitations
Dynamical modeling of spur gear with pitting based on image processing tooth surface242
Extracting and identifying essential characteristics of gear pitting and cracks with consideration of fault mechanisms164
Multivariate variational mode decomposition and generalized composite multiscale permutation entropy for multichannel fault diagnosis of hoisting machinery system135
Enhancing Lamb wave-based damage diagnosis in composite materials using a pseudo-damage boosted convolutional neural network approach80
Vibration-based structural damage localization through a discriminant analysis strategy with cepstral coefficients80
Multimodal feature fusion for detecting debonding in FRP-reinforced concrete interfaces using dual-branch CNN67
Laboratory and field experiment validations on the use of hydraulic transients for estimating buried water pipeline deterioration61
Bridge inspection component registration for damage evolution61
Model uncertainty quantification of a degradation model of miter gates using normalizing flow-based likelihood-free inference59
U2CrackNet: a deeper architecture with two-level nested U-structure for pavement crack detection59
Meta-model structural monitoring with cutting-edge AAE-VMD fusion alongside optimized machine learning methods56
Looseness monitoring of multiple M1 bolt joints using multivariate intrinsic multiscale entropy analysis and Lorentz signal-enhanced piezoelectric active sensing56
An intelligent detection approach for multi-part cover based on deep learning under unbalanced and small size samples55
Design and experimental investigation of a nondestructive detector for bolt loosening length of railway track fasteners55
A novel edge intelligence application model with lightweight network and antinoise ability for bearing fault diagnosis53
Entire loosening stage monitoring of bolted joints via nonlinear electro-mechanical impedance spectroscopy53
20 years of monitoring of a steel jacket offshore platform: variability of environmental and modal parameters50
Multi-modal model updating of miter gates on navigational locks49
Imaging cracks in orthotropic steel decks based on guided wave and variational Bayesian robust principal component analysis48
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 reservoir48
Wind turbine gearbox fault diagnosis via adaptive IMFogram47
Bridge damage detection using unsupervised learning with vehicle-induced vibrations45
Multi-level damage diagnosis on stiffened composite panels based on a damage-uninformative digital twin44
Heterogeneous structural responses recovery based on multi-modal deep learning42
Bayesian system identification considering the spatial correlation of distributed loads41
Small-sample damage detection of bleacher structure based on GAN and MSS-CNN models41
Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: a new full-scale dataset for structural health monitoring41
Localized corrosion monitoring and quantitative evaluation of steel wires in the splay saddle using distributed optical fiber sensing technology41
Semantic segmentation model for concrete cracks based on parallel Swin-CNNs framework39
A novel fault evaluation method based on nonlinear vibration features and Euclidean distance measurement for grid-like structures39
Percussion-based loosening detection method for multi-bolt structure using convolutional neural network DenseNet-CBAM39
Potential and limitations of NARX for defect detection in guided wave signals39
Modeling of an aircraft structural health monitoring sensor network for operational impact assessment38
Structural nonlinear damage identification based on the information distance of GNPAX/GARCH model and its experimental study38
Vibration-based monitoring of a super tall building with TMD during typhoon Ampil37
Railway defect detection based on track geometry using supervised and unsupervised machine learning36
Physics-informed deep learning for scattered full wavefield reconstruction from a sparse set of sensor data for impact diagnosis in structural health monitoring36
Quantifying the extent of local damage of a 60-year-old prestressed concrete bridge: A hybrid SHM approach36
Aging state detection of viscoelastic sandwich structure using redundant second generation wavelet packet transform and fuzzy support vector data description36
Leakage aperture identification of natural gas pipeline based on compressed acquisition and DSAE35
Prototype-assisted multiscale graph representation learning-based mechanical fault detection method under complex operating conditions34
Subdomain cointegration method for early damage warning of bridges considering nonlinear and nonstationary modal variabilities32
Long-term creep monitoring of composite wing leading edge using embedded fiber Bragg grating32
A novel adaptive boosting algorithm with distance-based weighted least square support vector machine and filter factor for carbon fiber reinforced polymer multi-damage classification31
Intelligent fault diagnosis of rotating machinery under variable working conditions based on deep transfer learning with fusion of local and global time–frequency features30
Hierarchical verification and validation in a forward model-driven structural health monitoring strategy30
Rolling bearing signal monitoring and diagnosis based on global arc length entropy29
A new collaborative lifelong learning framework based on channel distillation and pseudo-feature replay for class-incremental bearing fault diagnosis29
A grid-structured intelligent coating sensor system for directional crack monitoring in steel bridges29
Monitoring data motivated health condition assessment of cement concrete pavements in field based on FBG sensing technology29
A wayside monitoring system for the estimation of the rail neutral temperature29
An unsupervised multiclass fault diagnosis method and application based on affine-invariant Riemannian metric and spectral clustering29
Cubic spline interpolation-based refined composite multiscale dispersion entropy and its application to bearing fault identification29
A remaining useful life prediction approach for ball bearing by acoustic emission signal and physics-informed neural network29
Towards high-precision data modeling of SHM measurements using an improved sparse Bayesian learning scheme with strong generalization ability28
Adaptive fault components extraction based on physically interpretable optimized weight time–frequency matrix index and its applications in rotating machinery fault diagnosis28
Crack detection based on deep learning: a method for evaluating the object detection networks considering the random fractal of crack28
Physically meaningful uncertainty quantification in probabilistic wind turbine power curve models as a damage-sensitive feature28
Development of a novel real-time AE source localisation technique using ANN for health monitoring of rail section: an experimental study27
A lightweight deep learning network based on knowledge distillation for applications of efficient crack segmentation on embedded devices27
A semisupervised fault frequency analysis method for rotating machinery based on restricted self-attention network27
Temperature compensation to guided wave-based monitoring of bolt loosening using an attention-based multi-task network26
Time series analysis and sparse sensor network-based impact monitoring for aircraft complex structures26
Displacement response estimation of a cable-stayed bridge subjected to various loading conditions with one-dimensional residual convolutional autoencoder method25
An integrated deep neural network model combining 1D CNN and LSTM for structural health monitoring utilizing multisensor time-series data25
Addressing practicalities in multivariate nonlinear regression for mitigating environmental and operational variations25
Interval prediction method for dynamic zoning of displacements in super-high arch dam under significant water level fluctuations25
Structural performance assessment considering both observed and latent environmental and operational conditions: A Gaussian process and probability principal component analysis method24
A value-of-information-based optimal sensor placement design framework for cost-effective structural health monitoring (with application to miter gate monitoring)24
Experimental and numerical investigations on the acoustoelastic effect in hyperelastic waveguides24
Damage diagnosis of plates and shells through modal parameters reconstruction using inverse finite-element method24
An in situ prepared fiber-based piezoresistive film for ultrasonic wave detection on nonplanar carbon fiber-reinforced composites24
Dynamic characteristics analysis and the identification signal of the horizontal tail drive shaft system with the ballistic impact damage of a helicopter23
Absolute maximum slope difference method for NPW real-time localization of leakage in pipelines23
Rolling bearings fault diagnosis under various loads conditions based on GWJO-VMD-MAFCNN23
Automatic identification of early strength of high-performance concrete based on micro-impedance sensing system and deep learning method23
Adaptive Autoregressive Modelling Based Structural Health Monitoring of RC Beam-Column Joint Subjected to Shock Loading23
Nanocomposite sensors with indium tin oxide nanowires in a polyvinyl butyral matrix for crack detection in structural health monitoring23
Test accuracy requirements for optimal decision-making in management of post-tensioned concrete bridges23
Condition assessment of cable-stayed bridges based on heterogeneous data correlation mining using multichannel spatiotemporal graph convolutional network23
Compound fault diagnosis method for rolling bearings based on enhanced MED and adaptive periodized symplectic geometry mode decomposition22
Interpretable Siamese dual attention enhancement transfer compound diagnostic model for unbalanced samples22
Advancing measurement of zero-group-velocity Lamb waves using PVDF-TrFE transducers: first data and application to in situ health monitoring of multilayer bonded structures22
Modeling and designing of a phased array comprising piezoelectric stack transducer for ultrasonic Lamb wave-based damage detection22
Regional-scale bridge health monitoring: survey of current methods and roadmap for future opportunities under changing climate22
Spatial electric potential distributions and damage mapping in 3D carbon fiber/epoxy angle-interlock woven composites with different current directions22
Distributed fiber optic strain sensing for crack detection with Brillouin shift spectrum back analysis22
Distributed detection of internal cavities in concrete-filled steel tube arch bridge elements22
Novel approaches of synchronous averaging of gear and bearing vibrations22
Deep-learning-based interferometric synthetic aperture radar time-series analysis for the monitoring and prediction of dam safety22
Fatigue assessment of bridges using interacting filtering approach with sub-structured predictor model based on current health21
On the use of Vibrational Hill Charts for improved condition monitoring and diagnosis of hydraulic turbines21
Underwater bolted flange looseness detection using percussion-induced sound and Feature-reduced Multi-ROCKET model21
Tunnel lining water leakage image Segmentation based on improved BlendMask21
A multiscale inversion algorithm for engineering inspection using GPR data21
Missing data estimation method for durability survey of reinforced concrete structures21
Semi-Markov process-driven maintenance scheduling for Tainter gate system considering multiple limit states21
A semi-supervised meta-learning framework with multi-soft labels and cosine similarity for few-shot cross-domain fault diagnosis21
Robust prognostics of impacted composite structures using an adaptive hidden semi-Markov model21
ADACTA—Advanced component analysis technique for damage detection21
Intelligent defect location of a U-shaped boom using helical guided waves21
Model updating method for offshore jacket platforms using improved DNN and OOA considering non-uniform corrosion and structural responses20
Robust correlation mapping of train-induced stresses for high-speed railway bridge using convolutional denoising autoencoder20
Embeddable elasto-magnetic sensor-based residual tension estimation method of ground anchors for slope stability monitoring using irreversibility of magnetic permeability under various loading conditi20
A novel data-driven bridge monitoring data prediction framework using improved intelligent optimization-assisted deep learning20
Void damage detection of rubber bearings in bridge structures under laboratory conditions using the active sensing method and BO-XGBoost algorithm20
A hybrid metaheuristic framework for precision delamination detection in composite laminates20
A framework for the performance evaluation of reconfigurable ultrasonic sparse array networks20
Anomaly characterization for the condition monitoring of rotating shafts exploiting data fusion and explainable convolutional neural networks20
Experimental validation of automated OMA and mode tracking for structural health monitoring of transmission towers19
A method combining dynamic path matching with multipath adaptive drift Lévy stable motion for performance degradation prediction19
Reliability-based metrics for structural health monitoring information quality assessment19
Adaptive dynamic mode decomposition and its application in rolling bearing compound fault diagnosis19
Flexible iterative generalized demodulation filtering for the fault diagnosis of rotating machinery under nonstationary conditions19
Bearing fault detection system based on a deep diffusion model19
Physics-guided neural networks applied in rotor unbalance problems19
Unsupervised data normalization for continuous dynamic monitoring by an innovative hybrid feature weighting-selection algorithm and natural nearest neighbor searching19
High-fidelity fault signature extraction of rolling bearings via nonconvex regularized sparse representation enhanced by flexible analytical wavelet transform18
Characterization of OFDR distributed optical fiber for crack monitoring considering fiber-coating interfacial slip18
Wheel flat detection on railway vehicles using the angular domain synchronous averaging method: an experimental study18
A convolutional neural network for pipe crack and leak detection in smart water network18
Deformation measurement of aero-engine rotating twisted blade based on multi-vision overlapping area feature registration method18
Enhanced hierarchical symbolic sample entropy: Efficient tool for fault diagnosis of rotating machinery18
Enhanced signal processing for MFL-based steel pipe defect detection combining ICEEMDAN with multi-feature-GA-WTD method17
Deep CNN-based semi-supervised learning approach for identifying and segmenting corrosion in hydraulic steel and water resources infrastructure17
Multibolt looseness monitoring of steel structure based on multitask active sensing method and substructure cross-domain transfer learning17
Simulation of damage-induced wave propagation in composites using knowledge-embedded generative adversarial networks for structural health monitoring17
A novel methodology for quantitative identification of pipeline leakage and negative pressure wave velocity17
An adaptive dynamic cooperative multisource domain adaptation network for rotating machinery fault recognition17
Generalized zero-shot bearing compound fault diagnosis based on reserved gate pre-classifier and physical information semantics17
Automatic pipeline fault detection using one-dimensional convolutional bidirectional long short-term memory networks with wide first-layer kernels16
Monitoring deformations of infrastructure networks: A fully automated GIS integration and analysis of InSAR time-series16
A likelihood-free Bayesian approach for characterisation of multiple delaminations in laminated composite beams16
A time-saving fault diagnosis using simplified fast GAN and triple-type data transfer learning16
SAR-Nbeats-based temperature interpretation and prediction of InSAR time-series deformations for bridges16
On cross-attention-based graph neural networks for fault diagnosis using multi-sensor measurement16
A study on wind turbine gearbox fault diagnosis and interpretability using multisource information fusion methods16
Fatigue damage analysis of a Kaplan turbine model operating at off-design and transient conditions16
A comparison of ultrasonic temperature monitoring using machine learning and physics-based methods for high-cycle thermal fatigue monitoring16
Neural extended Kalman filters for learning and predicting dynamics of structural systems16
Tensile and vibration fatigue monitoring of composite laminate bolted joints with local enhancement using buckypaper sensors16
Damage identification in structures using dynamic mode decomposition for vibration analysis of low-resolution videos16
Crack damage monitoring for compressor blades based on acoustic emission with novel feature and hybridized feature selection16
A two-step computer vision-based framework for bolt loosening detection and its implementation on a smartphone application15
Identification of damaged member in a truss structure using acoustic emission technique aided by SVM15
Semi-supervised learning for efficient water leakage segmentation in tunnel infrastructure15
A bearing fault diagnosis method based on M-SSCNN and M-LR attention mechanism15
Kolmogorov-Arnold networks for industrial machine health monitoring with continual learning capability using time-series vibration data15
Compound damage detection using wavelet transform and deep neural network trained on healthy and single damage states: Validation on a laboratory-scale offshore jacket model15
An iterative morphological difference product wavelet for weak fault feature extraction in rolling bearing fault diagnosis15
A comprehensive study of techniques utilized for structural health monitoring of oil and gas pipelines15
Adaptive wind turbine blade surface defect detection based on deep learning and transfer learning15
Full-field expansion and damage detection from sparse measurements using physics-informed variational autoencoders15
Vision-guided crack identification and size quantification framework for dam underwater concrete structures15
Global-local optimization layout method for active piezoelectric sensor driven by structural critical areas15
Physics-guided neural network for structural health monitoring with lamb waves through boundary reflection elimination15
Research on structural health monitoring database construction and intelligent diagnosis method based on a CNN–LSTM integrated model15
A robust entropy-based sparsity measure for health monitoring of rotating machinery15
Hierarchical Bayesian detection of impulses in Tainter valve machinery systems under uncertainty15
Deep learning-based concrete defects classification and detection using semantic segmentation15
A geometrical morphology-enhanced computer vision approach for structural health assessment15
Multi-type damage localization using the scattering coefficient-based RAPID algorithm with damage indexes separation and imaging fusion15
Bolt load looseness measurement for slip-critical blind bolt by ultrasonic technique: a feasibility study with calibration and experimental verification14
Conditional disentangled representation augmentation network for imbalanced domain generalization fault diagnosis of rotating machinery14
Pattern recognition in electromechanical impedance spectroscopy damage detection of adhesive joints using multidimensional scaling14
Locating cracks in smart TRC elements based on the TDR concept14
Comparison of neural networks based on accuracy and robustness in identifying impact location for structural health monitoring applications14
A novel feature extraction method based on symbol-scale diversity entropy and its application for fault diagnosis of rotary machines14
Feature map field fusion of guided wave vibrometer data for increased fault localization capability14
Research on multimodal techniques for arc detection in railway systems with limited data14
Quantitative blade damage detection based on multisource domain and multistage joint transfer14
An optimal candidate fault frequency periodicity index optimization-gram for bearing fault diagnosis14
Bayesian data-driven framework for structural health monitoring of composite structures under limited experimental data14
Blade crack detection based on domain adaptation and autoencoder of multidimensional vibro-acoustic feature fusion14
A novel acoustic emission sensor design and modeling method for monitoring the status of high-speed train bearings14
Unsupervised deep learning method for bridge condition assessment based on intra-and inter-class probabilistic correlations of quasi-static responses14
A multitask framework with self-attention mechanism for simultaneous detection of axial pressure, shear deformation, and rupture damage in rubber bearings14
Towards smart monitoring of systems: an integrated non-parametric Bayesian KDE and LSTM approach for anomaly detection of rotating machinery under uncertainties14
Enhancing automated health monitoring of road infrastructure through a hierarchical robust deep learning approach14
SHM-informed life-cycle intelligent maintenance of fatigue-sensitive detail using Bayesian forecasting and Markov decision process14
Detecting delamination of concrete cover using movable PZT sensors and baseline-free electromechanical impedance techniques14
Pitting corrosion diagnostics and prognostics for miter gates using multiscale simulation and image inspection data13
Intelligent perception and early warning for deterioration of prestressed concrete box-girder bridges via the variation mining of mapping from vehicle load to structural displacement13
Integrating the maximum mean discrepancy metric with time–frequency enhanced convolutional neural networks for fault diagnosis13
Interpretable research on the health monitoring network of prefabricated building beam–column joints13
An improved approach for compressive sensing of vibration signals considering spectral leakage effect13
Track acoustic signal compression method based on sparse decomposition and M 2to1 -guided resampling13
Attention-enhanced spatiotemporal deep learning-based automatic warning model with uncertainty estimation in dam safety13
Probabilistic damage analysis of rebar corrosion in recycled aggregate concrete using sideband intensity-based nonlinear ultrasonic technique13
Adaptive and cross-attention Vision Transformer-based transfer network for elevator fault diagnosis toward unbalanced samples13
An interpretable algorithm unrolling network inspired by group-based sparse coding for mechanical fault diagnosis13
Influence line theory supported single sensor-based strain feature for bridge defect diagnosis13
Incipient Fault Detection of Helical Gearbox Based on Variational Mode Decomposition and Time Synchronous Averaging13
Quantitative detection of typical bridge surface damages based on global attention mechanism and YOLOv7 network13
A dual-sensor AE localization method for damaged steel tendon in prestressed concrete girders using waveguide rods13
A hybrid attention hierarchical network-based extreme event detection method for structural health monitoring13
A novel Lamb wave-based multi-damage dataset construction and quantification algorithm under the framework of multi-task deep learning13
Adaptive resize-residual deep neural network for fault diagnosis of rotating machinery13
Identification of bridge influence line and multiple-vehicle loads based on physics-informed neural networks12
Separate modeling technique for deformation monitoring of concrete dams12
Model-based damage identification with simulated transmittance deviations and deep learning classification12
Acoustic monitoring of wind turbine blades using wavelet packet analysis and 1D convolutional neural networks12
Health monitoring of automotive clutch system through feature fusion and application of tree-based classifiers12
An unsupervised transfer learning bearing fault diagnosis method based on multi-channel calibrated Transformer with shiftable window12
Optimal tuning of three deep learning methods with signal processing and anomaly detection for multi-class damage detection of a large-scale bridge12
A novel high-precision lightweight concrete bridge crack image recognition method based on knowledge distillation12
Enhanced Bayesian sparse representation of mechanical fault signals by structural feature-oriented matching composite dictionary construction12
Damage monitoring of glass/epoxy-curved laminates with different stacking sequences using acoustic emission12
Nondestructive detection for carbon fiber-reinforced polymer pipes based on capacitive coupling principle and auto-balancing impedance measurement12
Data quality evaluation for bridge structural health monitoring based on deep learning and frequency-domain information12
A semi-supervised learning framework fusing multi-sensor visual features for ship propulsion shafting fault diagnosis12
Statistics-based baseline-free approach for rapid inspection of delamination in composite structures using ultrasonic guided waves12
Online health monitoring of rotating machine elements using statistical spectral distances12
Fault diagnosis method for high-speed train axlebox bearings based on the joint driving of bearing dynamics simulation and experimental data12
ESPKARN: a multichannel framework for bearing fault diagnosis in the presence of imbalanced samples12
SHM system development for molten salt test loop12
A novel index for vibration-based damage detection technique in laminated composite plates under forced vibrations: experimental study12
Damage detection and location using a simulated annealing-artificial hummingbird algorithm with an improved objective function12
Optical phase mode analysis method for pipeline bolt looseness identification using distributed optical fiber acoustic sensing11
An unsupervised context-free forecasting method for structural health monitoring by generative adversarial networks with progressive growing and self-attention11
Research on compound faults identification of aeroengine inter-shaft bearing based on CCF–Complexity–VMD–SVD11
Fisher embedding shift-invariant dictionary learning for weak feature recognition in bearing health monitoring11
Digital Twins-based prognostic and health management processes for rotating machinery: a review11
Composite perception fusion detection framework for preoperational inspection of large-diameter pipelines11
A data-driven real-time evaluation method for safety risk of the anti-seepage system in high-core rockfill dams11
The multi-channel signals based tensor sparse representation classification method for fault diagnosis of high-speed train11
A multi-order moment matching-based unsupervised domain adaptation with application to cross-working condition fault diagnosis of rolling bearings11
Wavelet structuring element-based morphological filtering method in wire rope inspection signal denoising11
A novel domain adaptation method for drive-by railway track monitoring using progressive distribution alignment based on label correction11
A rolling bearing fault diagnosis method based on a convolutional neural network with frequency attention mechanism11
Restoration of missing structural health monitoring data using spatiotemporal graph attention networks11
An output-only damage identification method based on reinforcement-aided evolutionary algorithm and heterogeneous response reconstruction11
Damage location diagnosis of frame structure based on wavelet denoising and convolution neural network implanted with Inception module and LSTM11
Measurement of crack width from the two-dimensional sonar images of the moss-covered surface of underwater concrete components based on K-means clustering11
Non-destructive testing for thickness measurement of the adhesive layer and defect detection in ceramic-metal bonded structures using THz waves11
Impact time history reconstruction using dynamic weighted graph neural network under sensor fault situations11
Unsupervised learning-based data cleaning framework for structural health monitoring using GoogLeNet and clustering models11
Long-term ultrasonic monitoring of concrete affected by alkali-silica reaction11
A convolutional multisensor fusion fault diagnosis framework based on multidimensional distance matrix for rotating machinery11
An unsupervised online anomaly detection method for metal additive manufacturing processes via a statistical time-frequency domain algorithm11
Reliability analysis of complex structures based on Bayesian inference11
Twin contrastive learning based on negative sample attention and its application in rolling bearing fault diagnosis11
Time series forecasting and anomaly detection of bridge deformation based on PS-InSAR technique and seasonal-trend decomposition11
Bolt-loosening Fault Diagnosis in Rotor Systems with Nonlinear Vibration Transmissibility Function-based Features and Indexes11
Period-refined CYCBD using time synchronous averaging for the feature extraction of bearing fault under heavy noise11
An unsupervised transfer network with adaptive input and dynamic channel pruning for train axle bearing fault diagnosis11
Efficient attention-based deep encoder and decoder for automatic crack segmentation11
Guidelines for effective unsupervised guided wave compression and denoising in long-term guided wave structural health monitoring11
Incremental transfer learning for monitoring fatigue crack sizes in welded joints based on strain variations11
Application of covariance statistical method for damage identification on railway truss bridge using acceleration response: experimental and numerical validation11
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