Structural Health Monitoring-An International Journal

Papers
(The H4-Index of Structural Health Monitoring-An International Journal is 37. 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
Design and experimental investigation of a nondestructive detector for bolt loosening length of railway track fasteners61
SM-YOLO-HybridBridge: a lightweight deep learning model for surface defect detection and structural health monitoring in hybrid wooden–steel bridges61
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
A novel edge intelligence application model with lightweight network and antinoise ability for bearing fault diagnosis52
Multi-modal model updating of miter gates on navigational locks52
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
Model uncertainty quantification of a degradation model of miter gates using normalizing flow-based likelihood-free inference46
DW-JDA: An unsupervised cross-domain dynamic weighted joint distribution adaptation network for high-speed train bearing fault diagnosis46
Reliability-constrained maintenance optimization for safety-critical wind turbine bearings with distribution-free predictive uncertainty44
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
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
Enhancing Lamb wave-based damage diagnosis in composite materials using a pseudo-damage boosted convolutional neural network approach42
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
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
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
20 years of monitoring of a steel jacket offshore platform: variability of environmental and modal parameters37
0.082228899002075