Structural Health Monitoring-An International Journal

Papers
(The TQCC of Structural Health Monitoring-An International Journal is 8. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Bridge damage detection using unsupervised learning with vehicle-induced vibrations108
Multivariate variational mode decomposition and generalized composite multiscale permutation entropy for multichannel fault diagnosis of hoisting machinery system104
Localized corrosion monitoring and quantitative evaluation of steel wires in the splay saddle using distributed optical fiber sensing technology92
A novel fault evaluation method based on nonlinear vibration features and Euclidean distance measurement for grid-like structures87
Vibration-based structural damage localization through a discriminant analysis strategy with cepstral coefficients85
Dynamical modeling of spur gear with pitting based on image processing tooth surface85
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 reservoir74
Meta-model structural monitoring with cutting-edge AAE-VMD fusion alongside optimized machine learning methods65
Potential and limitations of NARX for defect detection in guided wave signals62
SM-YOLO-HybridBridge: a lightweight deep learning model for surface defect detection and structural health monitoring in hybrid wooden–steel bridges61
Design and experimental investigation of a nondestructive detector for bolt loosening length of railway track fasteners61
Extracting and identifying essential characteristics of gear pitting and cracks with consideration of fault mechanisms60
A gear fault diagnosis method based on auditory cortical frequency-domain response in real workshop noise environment53
Multi-modal model updating of miter gates on navigational locks52
A novel edge intelligence application model with lightweight network and antinoise ability for bearing fault diagnosis52
Vibration-based monitoring of a super tall building with TMD during typhoon Ampil51
Bayesian system identification considering the spatial correlation of distributed loads49
Few-shot fault diagnosis of transmission components under domain shift based on meta-transfer relation network48
Bridge damage identification using unsupervised deep learning through variational autoencoders48
DW-JDA: An unsupervised cross-domain dynamic weighted joint distribution adaptation network for high-speed train bearing fault diagnosis46
Model uncertainty quantification of a degradation model of miter gates using normalizing flow-based likelihood-free inference46
Reliability-constrained maintenance optimization for safety-critical wind turbine bearings with distribution-free predictive uncertainty44
Percussion-based loosening detection method for multi-bolt structure using convolutional neural network DenseNet-CBAM43
Wind turbine gearbox fault diagnosis via adaptive IMFogram43
Imaging cracks in orthotropic steel decks based on guided wave and variational Bayesian robust principal component analysis43
Structural nonlinear damage identification based on the information distance of GNPAX/GARCH model and its experimental study43
Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: a new full-scale dataset for structural health monitoring43
Small-sample damage detection of bleacher structure based on GAN and MSS-CNN models43
BI-Sandwich: a cross-domain model for fault diagnosis of aircraft engine main shaft bearings43
Semantic segmentation model for concrete cracks based on parallel Swin-CNNs framework42
Carbon-based textile as a smart sensory device for self-monitoring of fiber-reinforced concrete elements42
Enhancing Lamb wave-based damage diagnosis in composite materials using a pseudo-damage boosted convolutional neural network approach42
Multimodal feature fusion for detecting debonding in FRP-reinforced concrete interfaces using dual-branch CNN40
An intelligent detection approach for multi-part cover based on deep learning under unbalanced and small size samples39
Optimized case-based moment balance machine for predicting scour depth at bridge piers and abutments38
20 years of monitoring of a steel jacket offshore platform: variability of environmental and modal parameters37
U 2 CrackNet: a deeper architecture with two-level nested U-structure for pavement crack detection37
Physics-informed deep learning for scattered full wavefield reconstruction from a sparse set of sensor data for impact diagnosis in structural health monitoring37
Field and experimental evaluation of a probabilistic-based health indicator for efficient road health monitoring via FBG sensor network36
Entire loosening stage monitoring of bolted joints via nonlinear electro-mechanical impedance spectroscopy36
A semisupervised fault frequency analysis method for rotating machinery based on restricted self-attention network35
Long-term creep monitoring of composite wing leading edge using embedded fiber Bragg grating35
Rolling bearing signal monitoring and diagnosis based on global arc length entropy35
Prototype-assisted multiscale graph representation learning-based mechanical fault detection method under complex operating conditions35
An unsupervised multiclass fault diagnosis method and application based on affine-invariant Riemannian metric and spectral clustering34
Hierarchical verification and validation in a forward model-driven structural health monitoring strategy34
A new collaborative lifelong learning framework based on channel distillation and pseudo-feature replay for class-incremental bearing fault diagnosis33
Leakage aperture identification of natural gas pipeline based on compressed acquisition and DSAE33
A diagnostic method for impeller wear fault in slurry pumps based on Theil entropy-impact energy fusion and linear frequency modulation optimization32
UAV-based panoramic imaging for automated bughole segmentation and quantitative color-difference assessment of concrete bridge piers32
A grid-structured intelligent coating sensor system for directional crack monitoring in steel bridges31
Time series analysis and sparse sensor network-based impact monitoring for aircraft complex structures31
Ensemble ordinal pattern mode decomposition based on ICS2 blind filter for rotating machinery fault diagnosis31
Composite laminate damage identification via Gabor-based anisotropic filter enhanced attention ConvLSTM network31
Displacement response estimation of a cable-stayed bridge subjected to various loading conditions with one-dimensional residual convolutional autoencoder method31
Crack monitoring of short carbon fiber reinforced polymer-matrix composites based on the double-layer capacitance effect30
Development of a novel real-time AE source localisation technique using ANN for health monitoring of rail section: an experimental study30
Cubic spline interpolation-based refined composite multiscale dispersion entropy and its application to bearing fault identification30
Physics-informed diffusion model for small-sample bearing fault diagnosis via signal generation29
Interval prediction method for dynamic zoning of displacements in super-high arch dam under significant water level fluctuations29
Intelligent fault diagnosis of rotating machinery under variable working conditions based on deep transfer learning with fusion of local and global time–frequency features29
Subdomain cointegration method for early damage warning of bridges considering nonlinear and nonstationary modal variabilities29
A lightweight deep learning network based on knowledge distillation for applications of efficient crack segmentation on embedded devices28
Temperature compensation to guided wave-based monitoring of bolt loosening using an attention-based multi-task network28
A remaining useful life prediction approach for ball bearing by acoustic emission signal and physics-informed neural network28
Physically meaningful uncertainty quantification in probabilistic wind turbine power curve models as a damage-sensitive feature28
Adaptive fault components extraction based on physically interpretable optimized weight time–frequency matrix index and its applications in rotating machinery fault diagnosis27
Monitoring data motivated health condition assessment of cement concrete pavements in field based on FBG sensing technology27
Crack detection based on deep learning: a method for evaluating the object detection networks considering the random fractal of crack27
A wayside monitoring system for the estimation of the rail neutral temperature27
Towards high-precision data modeling of SHM measurements using an improved sparse Bayesian learning scheme with strong generalization ability26
An integrated deep neural network model combining 1D CNN and LSTM for structural health monitoring utilizing multisensor time-series data26
A time–frequency transformer-CNN gated hybrid framework for ship pump remaining useful life prediction25
Deep-learning-based interferometric synthetic aperture radar time-series analysis for the monitoring and prediction of dam safety25
Absolute maximum slope difference method for NPW real-time localization of leakage in pipelines24
Automatic identification of early strength of high-performance concrete based on micro-impedance sensing system and deep learning method24
An in situ prepared fiber-based piezoresistive film for ultrasonic wave detection on nonplanar carbon fiber-reinforced composites24
MDEA-Net: multisource disentangled expert adaptation network for cross-domain bearing fault diagnosis24
A value-of-information-based optimal sensor placement design framework for cost-effective structural health monitoring (with application to miter gate monitoring)24
Regional-scale bridge health monitoring: survey of current methods and roadmap for future opportunities under changing climate24
A credible granular feature contrastive learning network for fault diagnosis with semi-supervised domain generalization24
Modeling and designing of a phased array comprising piezoelectric stack transducer for ultrasonic Lamb wave-based damage detection23
Spatial electric potential distributions and damage mapping in 3D carbon fiber/epoxy angle-interlock woven composites with different current directions23
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
Toward digital twin-enabled real-time structural damage detection via POD-assisted Bayesian estimation23
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
Acoustic emission-based damage mechanism identification and warning for 3D-printed patch-reinforced scarf joints in segmented composite wind turbine blades23
Multiscale entropy and supervised manifold mapping for leak diagnosis in pipeline structural health monitoring23
Interpretable Siamese dual attention enhancement transfer compound diagnostic model for unbalanced samples23
Nanocomposite sensors with indium tin oxide nanowires in a polyvinyl butyral matrix for crack detection in structural health monitoring22
Damage diagnosis of plates and shells through modal parameters reconstruction using inverse finite-element method22
Condition assessment of cable-stayed bridges based on heterogeneous data correlation mining using multichannel spatiotemporal graph convolutional network22
Similarity relationship and principal component feature-considered deformation safety monitoring for the observation point group of in-service ultra-high arch dams21
Dynamic characteristics analysis and the identification signal of the horizontal tail drive shaft system with the ballistic impact damage of a helicopter21
Novel approaches of synchronous averaging of gear and bearing vibrations21
Compound fault diagnosis method for rolling bearings based on enhanced MED and adaptive periodized symplectic geometry mode decomposition21
Cross-view multi-stage contrastive learning with label-guided decision boundary calibration for semi-supervised bearing fault diagnosis21
Experimental and numerical investigations on the acoustoelastic effect in hyperelastic waveguides21
Self-supervised learning for train bearing fault diagnosis based on time–frequency dual domain prediction21
Rolling bearings fault diagnosis under various loads conditions based on GWJO-VMD-MAFCNN21
Test accuracy requirements for optimal decision-making in management of post-tensioned concrete bridges21
Baseline-free damage localization of wind turbine towers using optimal fractional-order curvature ratio curve: A two-step validation approach21
Enhanced hierarchical symbolic sample entropy: Efficient tool for fault diagnosis of rotating machinery21
Damage diagnosis of bridge structures using deep learning strategies: A hybrid neural networks practical tool20
A hybrid metaheuristic framework for precision delamination detection in composite laminates20
Model updating method for offshore jacket platforms using improved DNN and OOA considering non-uniform corrosion and structural responses20
Missing data estimation method for durability survey of reinforced concrete structures20
An integrated AR-CNN-LSTM method for missing data repair in rockfill dam deformation20
Digital twin-driven dual-stage domain adaptation feature augmentation method for fault diagnosis under imbalanced samples20
Segmented rotor blades: advancing damage detection in wind turbine bolted joints via low-/high-frequency sensing and data fusion20
Anomaly characterization for the condition monitoring of rotating shafts exploiting data fusion and explainable convolutional neural networks20
Replay-free evolutionary classifier for few-shot continuous fault diagnosis of wind turbine20
Deep CNN-based semi-supervised learning approach for identifying and segmenting corrosion in hydraulic steel and water resources infrastructure20
Physics-informed multimodal large model for machine fault diagnosis with dynamic vision20
DWAE-LIP with joint-TF loss: a new fault extraction method for rolling bearings under strong noise20
Semi-Markov process-driven maintenance scheduling for Tainter gate system considering multiple limit states19
Bearing fault detection system based on a deep diffusion model19
Void damage detection of rubber bearings in bridge structures under laboratory conditions using the active sensing method and BO-XGBoost algorithm19
ADACTA—Advanced component analysis technique for damage detection19
Research on piston aircraft engine fault diagnosis based on multisource information fusion by graph convolutional network19
A semi-supervised meta-learning framework with multi-soft labels and cosine similarity for few-shot cross-domain fault diagnosis19
Robust prognostics of impacted composite structures using an adaptive hidden semi-Markov model19
Deformation measurement of aero-engine rotating twisted blade based on multi-vision overlapping area feature registration method19
Fatigue assessment of bridges using interacting filtering approach with sub-structured predictor model based on current health19
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 conditi19
A framework for the performance evaluation of reconfigurable ultrasonic sparse array networks18
A method combining dynamic path matching with multipath adaptive drift Lévy stable motion for performance degradation prediction18
Detection and monitoring of breathing cracks in high-speed train wheelsets using low-order vibration harmonics18
Heterogeneous dual-stream contrastive adversarial network for cross-domain mechanical fault diagnosis18
Wheel flat detection on railway vehicles using the angular domain synchronous averaging method: an experimental study18
Intelligent defect location of a U-shaped boom using helical guided waves18
A multiscale inversion algorithm for engineering inspection using GPR data18
Bridge monitoring data analysis and automated report generation using multimodal large language model18
Experimental validation of automated OMA and mode tracking for structural health monitoring of transmission towers18
Unsupervised data normalization for continuous dynamic monitoring by an innovative hybrid feature weighting-selection algorithm and natural nearest neighbor searching18
A novel methodology for quantitative identification of pipeline leakage and negative pressure wave velocity18
Underwater bolted flange looseness detection using percussion-induced sound and Feature-reduced Multi-ROCKET model18
High-fidelity fault signature extraction of rolling bearings via nonconvex regularized sparse representation enhanced by flexible analytical wavelet transform18
SAR-Nbeats-based temperature interpretation and prediction of InSAR time-series deformations for bridges17
Physics-guided neural networks applied in rotor unbalance problems17
Identification of damaged member in a truss structure using acoustic emission technique aided by SVM17
New approach for enhanced damage identification in frame structures with limited data: leveraging integrated convolutional neural network model with transfer learning17
Multi-view generative synergistic optimization agent for few-shot machinery fault diagnosis under limited labeled data17
A novel data-driven bridge monitoring data prediction framework using improved intelligent optimization-assisted deep learning17
An adaptive dynamic cooperative multisource domain adaptation network for rotating machinery fault recognition17
Adaptive wind turbine blade surface defect detection based on deep learning and transfer learning17
A robust entropy-based sparsity measure for health monitoring of rotating machinery17
FD-DDLLM: A large language model enhanced dual-domain transformer for intelligent fault diagnosis17
Generalized zero-shot bearing compound fault diagnosis based on reserved gate pre-classifier and physical information semantics17
Hierarchical Bayesian detection of impulses in Tainter valve machinery systems under uncertainty17
MFTrans-DANN: unsupervised deep transfer learning model for noise-robust cross-domain diagnosis of rolling bearings17
A comparison of ultrasonic temperature monitoring using machine learning and physics-based methods for high-cycle thermal fatigue monitoring16
Semi-Supervised Transfer Graph Representation Learning with Few-Shot Adaptation for gearbox diagnostics under extraneous transient noise16
Simulation of damage-induced wave propagation in composites using knowledge-embedded generative adversarial networks for structural health monitoring16
On cross-attention-based graph neural networks for fault diagnosis using multi-sensor measurement16
Heterogeneous federated contrast diagnosis framework integrating knowledge distillation and continuous learning16
A likelihood-free Bayesian approach for characterisation of multiple delaminations in laminated composite beams16
Fatigue damage analysis of a Kaplan turbine model operating at off-design and transient conditions16
A study on wind turbine gearbox fault diagnosis and interpretability using multisource information fusion methods16
A time-saving fault diagnosis using simplified fast GAN and triple-type data transfer learning16
A bearing fault diagnosis method based on M-SSCNN and M-LR attention mechanism16
Enhanced signal processing for MFL-based steel pipe defect detection combining ICEEMDAN with multi-feature-GA-WTD method16
Full-field expansion and damage detection from sparse measurements using physics-informed variational autoencoders16
Multibolt looseness monitoring of steel structure based on multitask active sensing method and substructure cross-domain transfer learning16
Damage identification in structures using dynamic mode decomposition for vibration analysis of low-resolution videos16
Adaptive compensated MUSIC beamforming for Lamb wave damage localization under varying temperature16
Tensile and vibration fatigue monitoring of composite laminate bolted joints with local enhancement using buckypaper sensors16
Semi-supervised learning for efficient water leakage segmentation in tunnel infrastructure16
Preloading force monitoring and looseness identification of bolt connection using washer-type buckypaper sensor15
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
Neural extended Kalman filters for learning and predicting dynamics of structural systems15
Experimental and numerical investigation on strain-based structural health monitoring of impacted composite stiffened panels15
An intelligent fault diagnosis method of rolling bearing based on expansion and transfer of single working condition data under small samples15
Research on structural health monitoring database construction and intelligent diagnosis method based on a CNN–LSTM integrated model15
Kolmogorov-Arnold networks for industrial machine health monitoring with continual learning capability using time-series vibration data15
A comprehensive study of techniques utilized for structural health monitoring of oil and gas pipelines15
An intelligent monitoring framework for crack anomaly detection and early warning in concrete bridges using GAF-based classification and GRU prediction15
Automatic pipeline fault detection using one-dimensional convolutional bidirectional long short-term memory networks with wide first-layer kernels15
Physics-guided neural network for structural health monitoring with lamb waves through boundary reflection elimination15
Physics-guided spatiotemporal learning with invariant graph for cross-domain structural damage identification15
Deep learning-based concrete defects classification and detection using semantic segmentation15
Compound damage detection using wavelet transform and deep neural network trained on healthy and single damage states: Validation on a laboratory-scale offshore jacket model14
A multitask framework with self-attention mechanism for simultaneous detection of axial pressure, shear deformation, and rupture damage in rubber bearings14
GBL-MSS: a graph broad learning method for rolling bearing fault diagnosis under strong noise interference14
An optimal candidate fault frequency periodicity index optimization-gram for bearing fault diagnosis14
Bolt load looseness measurement for slip-critical blind bolt by ultrasonic technique: a feasibility study with calibration and experimental verification14
A novel acoustic emission sensor design and modeling method for monitoring the status of high-speed train bearings14
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
Multi-type damage localization using the scattering coefficient-based RAPID algorithm with damage indexes separation and imaging fusion14
Pattern recognition in electromechanical impedance spectroscopy damage detection of adhesive joints using multidimensional scaling14
Feature map field fusion of guided wave vibrometer data for increased fault localization capability14
Damage detection for bridges via adaptive modal neighborhood standardization considering environmental variability14
A dual-sensor AE localization method for damaged steel tendon in prestressed concrete girders using waveguide rods13
Locating cracks in smart TRC elements based on the TDR concept13
Blade crack detection based on domain adaptation and autoencoder of multidimensional vibro-acoustic feature fusion13
Damage monitoring of glass/epoxy-curved laminates with different stacking sequences using acoustic emission13
Towards smart monitoring of systems: an integrated non-parametric Bayesian KDE and LSTM approach for anomaly detection of rotating machinery under uncertainties13
A hybrid attention hierarchical network-based extreme event detection method for structural health monitoring13
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
A novel feature extraction method based on symbol-scale diversity entropy and its application for fault diagnosis of rotary machines13
A geometrical morphology-enhanced computer vision approach for structural health assessment13
Research on multimodal techniques for arc detection in railway systems with limited data13
Adaptive resize-residual deep neural network for fault diagnosis of rotating machinery13
Detecting pre-existing HDPE double-wall corrugated drainage pipe disconnection with fiber-optic distributed acoustic sensing13
Influence line theory supported single sensor-based strain feature for bridge defect diagnosis13
Spatiotemporal graph neural diagnostics for rotating machinery: a single-sensor multidimensional fusion framework13
Detecting delamination of concrete cover using movable PZT sensors and baseline-free electromechanical impedance techniques13
An ensemble attention-based residual convolutional neural network for rolling bearing fault diagnosis13
Bayesian data-driven framework for structural health monitoring of composite structures under limited experimental data13
Online health monitoring of rotating machine elements using statistical spectral distances13
Parameter-adaptive CYCBD β blind deconvolution for bearing fault diagnosis of a reduction gearbox 13
Probabilistic damage analysis of rebar corrosion in recycled aggregate concrete using sideband intensity-based nonlinear ultrasonic technique12
Track acoustic signal compression method based on sparse decomposition and M 2to1 -guided resampling12
A lightweight and real-time deep learning approach for pipeline bolt loosening detection using active guided waves12
Automated real-time cable tension warning framework using long-term monitoring data and a convolutional neural network12
Structural health monitoring of nanocomposite adhesively bonded joints using electrical impedance variations12
A deep learning-empowered data anomaly detection method based on a symmetric dot pattern for bridge monitoring data12
Integrating the maximum mean discrepancy metric with time–frequency enhanced convolutional neural networks for fault diagnosis12
Adaptive and cross-attention Vision Transformer-based transfer network for elevator fault diagnosis toward unbalanced samples12
Quantitative blade damage detection based on multisource domain and multistage joint transfer12
Accelerating Bayesian inference of structural damage detection based on physics-guided CNN and zero-shot transfer learning12
Attention-enhanced spatiotemporal deep learning-based automatic warning model with uncertainty estimation in dam safety12
A fault diagnosis method with continuous frequency-band indicator embedding and class-aware interpretable feature weighting12
An interpretable algorithm unrolling network inspired by group-based sparse coding for mechanical fault diagnosis12
Meta-learning-based hybrid LSTM-Transformer framework for cross-condition small sample fault diagnosis11
Optimal tuning of three deep learning methods with signal processing and anomaly detection for multi-class damage detection of a large-scale bridge11
Interpretable research on the health monitoring network of prefabricated building beam–column joints11
Pitting corrosion diagnostics and prognostics for miter gates using multiscale simulation and image inspection data11
Conditional disentangled representation augmentation network for imbalanced domain generalization fault diagnosis of rotating machinery11
A novel Lamb wave-based multi-damage dataset construction and quantification algorithm under the framework of multi-task deep learning11
Damage location diagnosis of frame structure based on wavelet denoising and convolution neural network implanted with Inception module and LSTM11
ESPKARN: a multichannel framework for bearing fault diagnosis in the presence of imbalanced samples11
Identification of bridge influence line and multiple-vehicle loads based on physics-informed neural networks11
Weighted plane deformation modeling and crack analysis for high core-wall rockfill dams11
Detection of cavities and leakage near buried pipelines using transmission lines considering influence range of electromagnetic waves11
Quantitative detection of typical bridge surface damages based on global attention mechanism and YOLOv7 network11
Acoustic monitoring of wind turbine blades using wavelet packet analysis and 1D convolutional neural networks11
Reliability analysis of complex structures based on Bayesian inference11
Metaheuristic-based pruning for efficient structural health monitoring11
An improved approach for compressive sensing of vibration signals considering spectral leakage effect11
A novel high-precision lightweight concrete bridge crack image recognition method based on knowledge distillation11
A multi-physical approach for crack monitoring in prestressed concrete girders: A case study11
Robotics and unmanned aerial vehicles for smart structural health monitoring: A systematic review11
Optical phase mode analysis method for pipeline bolt looseness identification using distributed optical fiber acoustic sensing11
Automated labeling and abnormal detection based on kernel cluster local outlier factor for machinery health monitoring10
Vibration resonance-assisted stochastic resonance for incipient bearing fault detection10
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