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 2021-12-01 to 2025-12-01.)
ArticleCitations
Dynamical modeling of spur gear with pitting based on image processing tooth surface248
Extracting and identifying essential characteristics of gear pitting and cracks with consideration of fault mechanisms173
Enhancing Lamb wave-based damage diagnosis in composite materials using a pseudo-damage boosted convolutional neural network approach138
Laboratory and field experiment validations on the use of hydraulic transients for estimating buried water pipeline deterioration82
U2CrackNet: a deeper architecture with two-level nested U-structure for pavement crack detection80
Small-sample damage detection of bleacher structure based on GAN and MSS-CNN models70
An intelligent detection approach for multi-part cover based on deep learning under unbalanced and small size samples63
Meta-model structural monitoring with cutting-edge AAE-VMD fusion alongside optimized machine learning methods63
Design and experimental investigation of a nondestructive detector for bolt loosening length of railway track fasteners62
Entire loosening stage monitoring of bolted joints via nonlinear electro-mechanical impedance spectroscopy62
A novel edge intelligence application model with lightweight network and antinoise ability for bearing fault diagnosis61
20 years of monitoring of a steel jacket offshore platform: variability of environmental and modal parameters61
Multi-modal model updating of miter gates on navigational locks57
Imaging cracks in orthotropic steel decks based on guided wave and variational Bayesian robust principal component analysis56
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 reservoir54
Wind turbine gearbox fault diagnosis via adaptive IMFogram51
Bridge damage detection using unsupervised learning with vehicle-induced vibrations51
Multimodal feature fusion for detecting debonding in FRP-reinforced concrete interfaces using dual-branch CNN49
Percussion-based loosening detection method for multi-bolt structure using convolutional neural network DenseNet-CBAM49
Localized corrosion monitoring and quantitative evaluation of steel wires in the splay saddle using distributed optical fiber sensing technology49
Vibration-based structural damage localization through a discriminant analysis strategy with cepstral coefficients46
Bayesian system identification considering the spatial correlation of distributed loads45
Semantic segmentation model for concrete cracks based on parallel Swin-CNNs framework44
A novel fault evaluation method based on nonlinear vibration features and Euclidean distance measurement for grid-like structures42
Potential and limitations of NARX for defect detection in guided wave signals42
Modeling of an aircraft structural health monitoring sensor network for operational impact assessment42
Looseness monitoring of multiple M1 bolt joints using multivariate intrinsic multiscale entropy analysis and Lorentz signal-enhanced piezoelectric active sensing41
Vibration-based monitoring of a super tall building with TMD during typhoon Ampil41
Bridge inspection component registration for damage evolution41
Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: a new full-scale dataset for structural health monitoring41
Multivariate variational mode decomposition and generalized composite multiscale permutation entropy for multichannel fault diagnosis of hoisting machinery system41
Heterogeneous structural responses recovery based on multi-modal deep learning40
Railway defect detection based on track geometry using supervised and unsupervised machine learning39
Model uncertainty quantification of a degradation model of miter gates using normalizing flow-based likelihood-free inference39
Multi-level damage diagnosis on stiffened composite panels based on a damage-uninformative digital twin38
Leakage aperture identification of natural gas pipeline based on compressed acquisition and DSAE37
Structural nonlinear damage identification based on the information distance of GNPAX/GARCH model and its experimental study37
Prototype-assisted multiscale graph representation learning-based mechanical fault detection method under complex operating conditions37
Physics-informed deep learning for scattered full wavefield reconstruction from a sparse set of sensor data for impact diagnosis in structural health monitoring37
A novel adaptive boosting algorithm with distance-based weighted least square support vector machine and filter factor for carbon fiber reinforced polymer multi-damage classification36
Subdomain cointegration method for early damage warning of bridges considering nonlinear and nonstationary modal variabilities36
Temperature compensation to guided wave-based monitoring of bolt loosening using an attention-based multi-task network36
Time series analysis and sparse sensor network-based impact monitoring for aircraft complex structures35
An unsupervised multiclass fault diagnosis method and application based on affine-invariant Riemannian metric and spectral clustering34
Rolling bearing signal monitoring and diagnosis based on global arc length entropy33
A wayside monitoring system for the estimation of the rail neutral temperature32
Hierarchical verification and validation in a forward model-driven structural health monitoring strategy32
Monitoring data motivated health condition assessment of cement concrete pavements in field based on FBG sensing technology32
A grid-structured intelligent coating sensor system for directional crack monitoring in steel bridges31
Crack detection based on deep learning: a method for evaluating the object detection networks considering the random fractal of crack31
Adaptive fault components extraction based on physically interpretable optimized weight time–frequency matrix index and its applications in rotating machinery fault diagnosis30
A new collaborative lifelong learning framework based on channel distillation and pseudo-feature replay for class-incremental bearing fault diagnosis30
A semisupervised fault frequency analysis method for rotating machinery based on restricted self-attention network29
Long-term creep monitoring of composite wing leading edge using embedded fiber Bragg grating29
Development of a novel real-time AE source localisation technique using ANN for health monitoring of rail section: an experimental study29
A lightweight deep learning network based on knowledge distillation for applications of efficient crack segmentation on embedded devices29
Interval prediction method for dynamic zoning of displacements in super-high arch dam under significant water level fluctuations29
A remaining useful life prediction approach for ball bearing by acoustic emission signal and physics-informed neural network28
Displacement response estimation of a cable-stayed bridge subjected to various loading conditions with one-dimensional residual convolutional autoencoder method28
Intelligent fault diagnosis of rotating machinery under variable working conditions based on deep transfer learning with fusion of local and global time–frequency features27
Cubic spline interpolation-based refined composite multiscale dispersion entropy and its application to bearing fault identification27
Aging state detection of viscoelastic sandwich structure using redundant second generation wavelet packet transform and fuzzy support vector data description27
Quantifying the extent of local damage of a 60-year-old prestressed concrete bridge: A hybrid SHM approach26
Experimental and numerical investigations on the acoustoelastic effect in hyperelastic waveguides26
Physically meaningful uncertainty quantification in probabilistic wind turbine power curve models as a damage-sensitive feature26
Towards high-precision data modeling of SHM measurements using an improved sparse Bayesian learning scheme with strong generalization ability26
Addressing practicalities in multivariate nonlinear regression for mitigating environmental and operational variations26
An integrated deep neural network model combining 1D CNN and LSTM for structural health monitoring utilizing multisensor time-series data26
Condition assessment of cable-stayed bridges based on heterogeneous data correlation mining using multichannel spatiotemporal graph convolutional network25
A value-of-information-based optimal sensor placement design framework for cost-effective structural health monitoring (with application to miter gate monitoring)25
Test accuracy requirements for optimal decision-making in management of post-tensioned concrete bridges25
Nanocomposite sensors with indium tin oxide nanowires in a polyvinyl butyral matrix for crack detection in structural health monitoring25
Damage diagnosis of plates and shells through modal parameters reconstruction using inverse finite-element method25
Dynamic characteristics analysis and the identification signal of the horizontal tail drive shaft system with the ballistic impact damage of a helicopter25
Absolute maximum slope difference method for NPW real-time localization of leakage in pipelines25
An in situ prepared fiber-based piezoresistive film for ultrasonic wave detection on nonplanar carbon fiber-reinforced composites25
Automatic identification of early strength of high-performance concrete based on micro-impedance sensing system and deep learning method25
Novel approaches of synchronous averaging of gear and bearing vibrations24
Regional-scale bridge health monitoring: survey of current methods and roadmap for future opportunities under changing climate24
Deep-learning-based interferometric synthetic aperture radar time-series analysis for the monitoring and prediction of dam safety24
Interpretable Siamese dual attention enhancement transfer compound diagnostic model for unbalanced samples24
Compound fault diagnosis method for rolling bearings based on enhanced MED and adaptive periodized symplectic geometry mode decomposition24
Tunnel lining water leakage image Segmentation based on improved BlendMask23
Structural performance assessment considering both observed and latent environmental and operational conditions: A Gaussian process and probability principal component analysis method23
Modeling and designing of a phased array comprising piezoelectric stack transducer for ultrasonic Lamb wave-based damage detection23
Distributed detection of internal cavities in concrete-filled steel tube arch bridge elements23
Advancing measurement of zero-group-velocity Lamb waves using PVDF-TrFE transducers: first data and application to in situ health monitoring of multilayer bonded structures23
Dynamic displacement estimation of railway beam bridge based on integration of strain and acceleration23
Distributed fiber optic strain sensing for crack detection with Brillouin shift spectrum back analysis23
Adaptive Autoregressive Modelling Based Structural Health Monitoring of RC Beam-Column Joint Subjected to Shock Loading23
Spatial electric potential distributions and damage mapping in 3D carbon fiber/epoxy angle-interlock woven composites with different current directions23
Rolling bearings fault diagnosis under various loads conditions based on GWJO-VMD-MAFCNN23
A multiscale inversion algorithm for engineering inspection using GPR data22
Unsupervised data normalization for continuous dynamic monitoring by an innovative hybrid feature weighting-selection algorithm and natural nearest neighbor searching22
Intelligent defect location of a U-shaped boom using helical guided waves22
A semi-supervised meta-learning framework with multi-soft labels and cosine similarity for few-shot cross-domain fault diagnosis22
Missing data estimation method for durability survey of reinforced concrete structures22
Fatigue assessment of bridges using interacting filtering approach with sub-structured predictor model based on current health22
Robust prognostics of impacted composite structures using an adaptive hidden semi-Markov model22
Enhanced hierarchical symbolic sample entropy: Efficient tool for fault diagnosis of rotating machinery22
Void damage detection of rubber bearings in bridge structures under laboratory conditions using the active sensing method and BO-XGBoost algorithm21
Semi-Markov process-driven maintenance scheduling for Tainter gate system considering multiple limit states21
ADACTA—Advanced component analysis technique for damage detection21
Embeddable elasto-magnetic sensor-based residual tension estimation method of ground anchors for slope stability monitoring using irreversibility of magnetic permeability under various loading conditi21
Bearing fault detection system based on a deep diffusion model21
Anomaly characterization for the condition monitoring of rotating shafts exploiting data fusion and explainable convolutional neural networks21
Physics-guided neural networks applied in rotor unbalance problems21
A framework for the performance evaluation of reconfigurable ultrasonic sparse array networks20
Flexible iterative generalized demodulation filtering for the fault diagnosis of rotating machinery under nonstationary conditions20
Robust correlation mapping of train-induced stresses for high-speed railway bridge using convolutional denoising autoencoder20
Reliability-based metrics for structural health monitoring information quality assessment20
A hybrid metaheuristic framework for precision delamination detection in composite laminates20
Adaptive dynamic mode decomposition and its application in rolling bearing compound fault diagnosis19
Deformation measurement of aero-engine rotating twisted blade based on multi-vision overlapping area feature registration method19
On the use of Vibrational Hill Charts for improved condition monitoring and diagnosis of hydraulic turbines19
Wheel flat detection on railway vehicles using the angular domain synchronous averaging method: an experimental study19
Characterization of OFDR distributed optical fiber for crack monitoring considering fiber-coating interfacial slip19
A method combining dynamic path matching with multipath adaptive drift Lévy stable motion for performance degradation prediction19
Model updating method for offshore jacket platforms using improved DNN and OOA considering non-uniform corrosion and structural responses19
High-fidelity fault signature extraction of rolling bearings via nonconvex regularized sparse representation enhanced by flexible analytical wavelet transform19
Research on piston aircraft engine fault diagnosis based on multisource information fusion by graph convolutional network18
A novel methodology for quantitative identification of pipeline leakage and negative pressure wave velocity18
A novel data-driven bridge monitoring data prediction framework using improved intelligent optimization-assisted deep learning18
Deep CNN-based semi-supervised learning approach for identifying and segmenting corrosion in hydraulic steel and water resources infrastructure18
Underwater bolted flange looseness detection using percussion-induced sound and Feature-reduced Multi-ROCKET model18
Experimental validation of automated OMA and mode tracking for structural health monitoring of transmission towers18
A convolutional neural network for pipe crack and leak detection in smart water network18
A study on wind turbine gearbox fault diagnosis and interpretability using multisource information fusion methods17
Damage identification in structures using dynamic mode decomposition for vibration analysis of low-resolution videos17
Fatigue damage analysis of a Kaplan turbine model operating at off-design and transient conditions17
An adaptive dynamic cooperative multisource domain adaptation network for rotating machinery fault recognition17
A time-saving fault diagnosis using simplified fast GAN and triple-type data transfer learning17
A comparison of ultrasonic temperature monitoring using machine learning and physics-based methods for high-cycle thermal fatigue monitoring17
Hierarchical Bayesian detection of impulses in Tainter valve machinery systems under uncertainty17
Simulation of damage-induced wave propagation in composites using knowledge-embedded generative adversarial networks for structural health monitoring17
Generalized zero-shot bearing compound fault diagnosis based on reserved gate pre-classifier and physical information semantics17
SAR-Nbeats-based temperature interpretation and prediction of InSAR time-series deformations for bridges17
A likelihood-free Bayesian approach for characterisation of multiple delaminations in laminated composite beams17
A robust entropy-based sparsity measure for health monitoring of rotating machinery17
Enhanced signal processing for MFL-based steel pipe defect detection combining ICEEMDAN with multi-feature-GA-WTD method17
Identification of damaged member in a truss structure using acoustic emission technique aided by SVM17
On cross-attention-based graph neural networks for fault diagnosis using multi-sensor measurement17
Semi-supervised learning for efficient water leakage segmentation in tunnel infrastructure16
Multibolt looseness monitoring of steel structure based on multitask active sensing method and substructure cross-domain transfer learning16
Crack damage monitoring for compressor blades based on acoustic emission with novel feature and hybridized feature selection16
Automatic pipeline fault detection using one-dimensional convolutional bidirectional long short-term memory networks with wide first-layer kernels16
A two-step computer vision-based framework for bolt loosening detection and its implementation on a smartphone application16
An iterative morphological difference product wavelet for weak fault feature extraction in rolling bearing fault diagnosis16
A comprehensive study of techniques utilized for structural health monitoring of oil and gas pipelines16
Full-field expansion and damage detection from sparse measurements using physics-informed variational autoencoders16
Adaptive wind turbine blade surface defect detection based on deep learning and transfer learning16
Research on structural health monitoring database construction and intelligent diagnosis method based on a CNN–LSTM integrated model16
Physics-guided neural network for structural health monitoring with lamb waves through boundary reflection elimination16
Deep learning-based concrete defects classification and detection using semantic segmentation16
Tensile and vibration fatigue monitoring of composite laminate bolted joints with local enhancement using buckypaper sensors16
A novel feature extraction method based on symbol-scale diversity entropy and its application for fault diagnosis of rotary machines15
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
A multitask framework with self-attention mechanism for simultaneous detection of axial pressure, shear deformation, and rupture damage in rubber bearings15
Monitoring deformations of infrastructure networks: A fully automated GIS integration and analysis of InSAR time-series15
Comparison of neural networks based on accuracy and robustness in identifying impact location for structural health monitoring applications15
Enhancing automated health monitoring of road infrastructure through a hierarchical robust deep learning approach15
Bayesian data-driven framework for structural health monitoring of composite structures under limited experimental data15
Locating cracks in smart TRC elements based on the TDR concept15
Global-local optimization layout method for active piezoelectric sensor driven by structural critical areas15
Vision-guided crack identification and size quantification framework for dam underwater concrete structures15
Kolmogorov-Arnold networks for industrial machine health monitoring with continual learning capability using time-series vibration data15
Bolt load looseness measurement for slip-critical blind bolt by ultrasonic technique: a feasibility study with calibration and experimental verification15
Pattern recognition in electromechanical impedance spectroscopy damage detection of adhesive joints using multidimensional scaling15
Neural extended Kalman filters for learning and predicting dynamics of structural systems15
A bearing fault diagnosis method based on M-SSCNN and M-LR attention mechanism15
A novel acoustic emission sensor design and modeling method for monitoring the status of high-speed train bearings14
Feature map field fusion of guided wave vibrometer data for increased fault localization capability14
Detecting delamination of concrete cover using movable PZT sensors and baseline-free electromechanical impedance techniques14
Conditional disentangled representation augmentation network for imbalanced domain generalization fault diagnosis of rotating machinery14
Intelligent perception and early warning for deterioration of prestressed concrete box-girder bridges via the variation mining of mapping from vehicle load to structural displacement14
Integrating the maximum mean discrepancy metric with time–frequency enhanced convolutional neural networks for fault diagnosis14
Adaptive and cross-attention Vision Transformer-based transfer network for elevator fault diagnosis toward unbalanced samples14
Research on multimodal techniques for arc detection in railway systems with limited data14
SHM-informed life-cycle intelligent maintenance of fatigue-sensitive detail using Bayesian forecasting and Markov decision process14
Blade crack detection based on domain adaptation and autoencoder of multidimensional vibro-acoustic feature fusion14
A geometrical morphology-enhanced computer vision approach for structural health assessment14
Pitting corrosion diagnostics and prognostics for miter gates using multiscale simulation and image inspection data14
Interpretable research on the health monitoring network of prefabricated building beam–column joints14
A hybrid attention hierarchical network-based extreme event detection method for structural health monitoring14
A dual-sensor AE localization method for damaged steel tendon in prestressed concrete girders using waveguide rods14
Multi-type damage localization using the scattering coefficient-based RAPID algorithm with damage indexes separation and imaging fusion14
An optimal candidate fault frequency periodicity index optimization-gram for bearing fault diagnosis14
Unsupervised deep learning method for bridge condition assessment based on intra-and inter-class probabilistic correlations of quasi-static responses14
Quantitative blade damage detection based on multisource domain and multistage joint transfer14
Attention-enhanced spatiotemporal deep learning-based automatic warning model with uncertainty estimation in dam safety14
An interpretable algorithm unrolling network inspired by group-based sparse coding for mechanical fault diagnosis14
Probabilistic damage analysis of rebar corrosion in recycled aggregate concrete using sideband intensity-based nonlinear ultrasonic technique14
Damage location diagnosis of frame structure based on wavelet denoising and convolution neural network implanted with Inception module and LSTM13
Adaptive resize-residual deep neural network for fault diagnosis of rotating machinery13
Track acoustic signal compression method based on sparse decomposition and M 2to1 -guided resampling13
Towards smart monitoring of systems: an integrated non-parametric Bayesian KDE and LSTM approach for anomaly detection of rotating machinery under uncertainties13
Statistics-based baseline-free approach for rapid inspection of delamination in composite structures using ultrasonic guided waves13
A novel Lamb wave-based multi-damage dataset construction and quantification algorithm under the framework of multi-task deep learning13
Identification of bridge influence line and multiple-vehicle loads based on physics-informed neural networks13
Online health monitoring of rotating machine elements using statistical spectral distances13
Influence line theory supported single sensor-based strain feature for bridge defect diagnosis13
An improved approach for compressive sensing of vibration signals considering spectral leakage effect13
Optimal tuning of three deep learning methods with signal processing and anomaly detection for multi-class damage detection of a large-scale bridge13
Enhanced Bayesian sparse representation of mechanical fault signals by structural feature-oriented matching composite dictionary construction13
Quantitative detection of typical bridge surface damages based on global attention mechanism and YOLOv7 network13
Separate modeling technique for deformation monitoring of concrete dams13
Damage monitoring of glass/epoxy-curved laminates with different stacking sequences using acoustic emission13
Incipient Fault Detection of Helical Gearbox Based on Variational Mode Decomposition and Time Synchronous Averaging13
A novel high-precision lightweight concrete bridge crack image recognition method based on knowledge distillation13
A fault source localization method for aircraft engine casing with dual-sensors based on acoustic emission12
An output-only damage identification method based on reinforcement-aided evolutionary algorithm and heterogeneous response reconstruction12
Reliability analysis of complex structures based on Bayesian inference12
Data quality evaluation for bridge structural health monitoring based on deep learning and frequency-domain information12
Damage detection and location using a simulated annealing-artificial hummingbird algorithm with an improved objective function12
Twin contrastive learning based on negative sample attention and its application in rolling bearing fault diagnosis12
An unsupervised context-free forecasting method for structural health monitoring by generative adversarial networks with progressive growing and self-attention12
Nondestructive detection for carbon fiber-reinforced polymer pipes based on capacitive coupling principle and auto-balancing impedance measurement12
ESPKARN: a multichannel framework for bearing fault diagnosis in the presence of imbalanced samples12
SHM system development for molten salt test loop12
MIENgram: an optimal demodulation frequency band selection method for early fault diagnosis of wind turbine bearings12
Optical phase mode analysis method for pipeline bolt looseness identification using distributed optical fiber acoustic sensing12
A novel index for vibration-based damage detection technique in laminated composite plates under forced vibrations: experimental study12
Fisher embedding shift-invariant dictionary learning for weak feature recognition in bearing health monitoring12
Fault diagnosis method for high-speed train axlebox bearings based on the joint driving of bearing dynamics simulation and experimental data12
A semi-supervised learning framework fusing multi-sensor visual features for ship propulsion shafting fault diagnosis12
Model-based damage identification with simulated transmittance deviations and deep learning classification12
Research on compound faults identification of aeroengine inter-shaft bearing based on CCF–Complexity–VMD–SVD12
Acoustic monitoring of wind turbine blades using wavelet packet analysis and 1D convolutional neural networks12
An unsupervised transfer learning bearing fault diagnosis method based on multi-channel calibrated Transformer with shiftable window12
Health monitoring of automotive clutch system through feature fusion and application of tree-based classifiers12
Challenges in assessing corrosion damage in reinforced concrete beams by vibration-based monitoring: literature analysis and experimental study11
Impact time history reconstruction using dynamic weighted graph neural network under sensor fault situations11
Probability of detection for corrosion-induced steel mass loss using Fe–C coated LPFG sensors11
Period-refined CYCBD using time synchronous averaging for the feature extraction of bearing fault under heavy noise11
The multi-channel signals based tensor sparse representation classification method for fault diagnosis of high-speed train11
Guidelines for effective unsupervised guided wave compression and denoising in long-term guided wave structural health monitoring11
A rolling bearing fault diagnosis method based on a convolutional neural network with frequency attention mechanism11
An unsupervised transfer network with adaptive input and dynamic channel pruning for train axle bearing fault diagnosis11
Structural health monitoring of a historic building during uplifting process: system design and data analysis11
Compatibility and challenges in machine learning approach for structural crack assessment11
Efficient attention-based deep encoder and decoder for automatic crack segmentation11
Enhancing the understanding of bolt loosening and wave transmission in bolted lap-joint connections: a numerical and experimental study using guided Lamb waves11
Non-destructive testing for thickness measurement of the adhesive layer and defect detection in ceramic-metal bonded structures using THz waves11
Time series forecasting and anomaly detection of bridge deformation based on PS-InSAR technique and seasonal-trend decomposition11
A data-driven real-time evaluation method for safety risk of the anti-seepage system in high-core rockfill dams11
An adaptable rotated bounding box method for automatic detection of arbitrary-oriented cracks11
Feature pyramid network with self-guided attention refinement module for crack segmentation11
FD-Zero framework: LLM-based diagnosis framework for zero-shot mechanical time-domain signals11
Composite perception fusion detection framework for preoperational inspection of large-diameter pipelines11
Unsupervised learning-based data cleaning framework for structural health monitoring using GoogLeNet and clustering models11
0.66996788978577