Structural Health Monitoring

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Overview

Structural Health Monitoring studies how to detect and characterize damage or deterioration in structures such as bridges, buildings, aircraft, rail systems, and wind turbines. It draws on vibration, strain, guided-wave, image, and point-cloud measurements, using signal processing and statistical models alongside machine learning methods such as convolutional networks, transformers, graph models, and physics-informed learning. These methods support tasks including anomaly detection, damage localization and severity assessment, displacement forecasting, and digital-twin or maintenance workflows. A central challenge is making reliable, calibrated models generalize across changing environments and structures when labeled field data are scarce, while remaining interpretable and efficient enough for safety-critical deployment.

Latest papers

CardsList

80 papers6 papers in the last four weeks, up 100% on the four weeks before. 0.0% of all new papers.

  1. Cross-View and Cross-Time Tracking of Crack Evolution in Concrete

    Oct 24, 2026Pengru Deng, Jiapeng Yao, Su Wang +5Structural Health Monitoring

    School of Civil Engineering, Central South University, Changsha, China · Nvidia, Shanghai, China · Faculty of Engineering, Hokkaido University, Sapporo 060-8628, Japan +1

  2. Generative adversarial networks with Monte Carlo dropout uncertainty quantification for structural health monitoring: Fibre Bragg grating data augmentation comparison in Hawk T1A aircraft

    Oct 15, 2026Alvaro Peiro, Marios ImpraimakisSynthetic Data AugmentationSynthetic Data Generation

    Department of Mechanical Engineering, University of Bath, Bath, BA2 7AY, UK

  3. Lightweight Time-Frequency Vibration Sensing for Consumer Device Condition Monitoring

    Oct 9, 2026Po-Heng Chou, Jen-Yu Chiu, Chun-Yu Yeh +2Time-Frequency AnalysisFault Diagnosis

    Research Center for Information Technology Innovation (CITI), Academia Sinica (AS), Taipei 11529, Taiwan · Bradley Department of Electrical and Computer Engineering (ECE), Virginia Tech (VT), Alexandria, VA 22305, USA · Department of Electrical Engineering, National Yunlin University of Science and Technology (NYUST), Yunlin 64002, Taiwan

  4. Smart Sensing for Safer Bridges: From Sensor Signals to AI-Driven Anomaly Detection

    Oct 2, 2026Rahul Jaiswal, Joakim Hellum, Halvor HeibergOnline Anomaly DetectionTime-Series Anomaly Detection

    Smart Sensor Systems AS Oslo, Norway

  5. Anomaly Detection and Localization for the Pantograph-Catenary System

    Oct 1, 2026Francesco Vitale, Hangli Ge, Francesco FlamminiIndustrial Anomaly DetectionAnomaly Localization

    DIETI University of Naples Federico II Naples, Italy · Interfaculty Initiative in Information Studies The University of Tokyo Tokyo, Japan · DIMAI University of Florence Florence, Italy +1

  6. Analog Computing revisited: A fully analog and minimalistic Damage Detector for Ultrasonic Testing enabling Material-Integrated Structural Health Monitoring

    Sep 28, 2026Stefan BosseAnalog ComputingFault Detection

    University of Koblenz, Practical Computer Science, Koblenz, Germany

  7. From Grey-Box to Green-Box: When can Physics-Informed Machine Learning Reduce Carbon Footprints in Structural Health Monitoring?

    Sep 27, 2026Daisy R. Bradley, Nathan A. Hinchliffe, Daniel J. Pitchforth +2Energy-Efficient MLPhysics-Informed ML

    Dynamics Research Group, University of Sheffield, Sheffield, UK

  8. A Vehicle-Integrated Approach to Digital Twin Deployment for Bridges Through Drive-By Sensing

    Sep 25, 2026Zihao Liu, Daigo Kawabe, Jiaji Wang +2Structural Health MonitoringDigital Twins

    School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia · KyoCenseo Inc., Kyoto, Japan · Department of Civil Engineering, The University of Hong Kong, Hong Kong, China +1

  9. Integrated Laser Scanning and Image-Based Topology Optimization Techniques for Detection and Quantification of Visible and Subsurface Structural Defects

    Sep 1, 2026Mehrdad Shafiei Dizaji, Devin HarrisPoint Cloud Anomaly DetectionModel Calibration

    Department of Engineering Systems and Environment, University of Virginia, Charlottesville, VA, USA

  10. Lowering the Barrier to AI-Driven Inspection: A No-Code Workflow for Automated Structural Defect Detection

    Aug 25, 2026Michael Holm, Tanner McElroy, Xinghang Zhang +1Fault DetectionStructural Health Monitoring

    Purdue University, West Lafayette, IN

  11. MoRF-AST: Calibrated Probabilistic Virtual Sensing for Structural Monitoring under Changing Operating Conditions

    Aug 25, 2026Wingho Feng, Quanwang Li, Ming Zhong +2Virtual SensingStructural Health Monitoring

    Department of Civil Engineering, Tsinghua University, Beijing 100084, China · Xiandai Investment Co., Ltd., Changsha 410004, China

  12. Bridge Damage Detection from Low-Light UAV Imagery via Degradation-Aware Mixture-of-Experts Enhancement

    Aug 24, 2026Hu Wang, Hongxu Pu, Zhiqi Hu +2Image RestorationLow-Light Image Enhancement

    School of Computer Science and Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu, 611731, China · Sustainability X-Lab, The University of Hong Kong, Hong Kong, China · School of Architecture, Building, and Civil Engineering, Loughborough University, Loughborough, UK, LE11 3TU +2

  13. 3D Point Cloud from Close-Range Photogrammetry for Defect Characterisation of Rubberised Concrete

    Aug 21, 2026Jiacheng Liu, Mohammed Alnahhal, Ailar Hajimohammadi +33D ReconstructionPoint Cloud Surface Reconstruction

    School of Civil and Environmental Engineering, University of New South Wales, Sydney, NSW 2052, Australia · Dept. of Engineering, Università degli Studi della Campania Luigi Vanvitelli, via Roma 29, 81031, Aversa (CE), Italy

  14. Image-Guided Pavement Defect Recognition in GPR Data with novel 3D Deep Learning Architecture

    Aug 19, 2026Yuandong Pan, Linjun Lu, Mudan Wang +63D CNNsStructural Health Monitoring

    Postdoctoral scholar, School of Engineering, Stanford University, 473 Via Ortega, Stanford · Research fellow, Department of Engineering, University of Cambridge, 7a JJ Thomson Avenue, Cambridge · Assistant research professor, Department of Engineering, University of Cambridge, 7a JJ Thomson Avenue, Cambridge +6

  15. Evaluation of AI-based Visual Crack Detection in Steel Bridges Using Probability of Detection

    Aug 18, 2026Andrii Kompanets, Finn Michael Sherry, Remco Duits +2Fault DetectionStructural Health Monitoring

    Eindhoven University of Technology, Department of the Built Environment, Eindhoven, The Netherlands · Eindhoven Artificial Intelligence Systems Institute, Eindhoven University of Technology, Eindhoven, The Netherlands · Eindhoven University of Technology, Department of Mathematics and Computer Science, Eindhoven, The Netherlands

  16. Beyond Control Points: Arcsecond Relative-Motion Estimation of Vision Measurement Platforms With Incomplete or Absent Control Fields

    Aug 14, 2026Meng Lian, Jian Wang, Shuixin Pan +3Relative Pose EstimationCamera Pose Estimation

    Ministry of Natural Resources (MNR) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics, Shenzhen University, Shenzhen, China · Shenzhen Expressway Co., Ltd., Shenzhen, China · Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, the Shenzhen Key Laboratory of Intelligent Optical Measurement and Detection, and the College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China +2

  17. Latent variable models for simultaneous EOV identification and removal in population-based SHM

    Aug 12, 2026M. D. Champneys, M. R. Jones, A. J. Hughes +3Latent Variable ModelsStructural Health Monitoring

    Dynamics Research Group, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK · Centre for Machine Intelligence, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK

  18. Damage Classification for 3D Point Cloud Data via 3D Data Analysis and Vision Foundation Model-based 2D Projections

    Aug 9, 2026Evan Perez, Kalelo Dukuray, Erika Ardiles-Cruz +1Point Cloud Anomaly DetectionVision Foundation Models

    Dept. of Computer Science, City College of New York, NY 10031, USA · Air Force Research Lab, Rome, NY 13441, USA

  19. Failure-Mechanism Transferability of Cumulative-Damage Features for Health State Estimation of SiC Power Modules

    Aug 8, 2026Mattia Scarpa, Evgeny Kusmenko, Francesco Toso +3Domain GeneralizationPredictive Maintenance

    Dept. of Information Engineering University of Padova Padova, Italy · Infineon Technologies Dresden AG & Co. KG Dresden, Germany · Newtwen S.r.l. Padova, Italy +1

  20. Machine-Learning-Based Diagnostic Framework for Passive Ultrasonic Detection of Railway Wheel Defects

    Aug 8, 2026Aashish Shaju, Steve Southward, Mehdi AhmadianFault DetectionFault Diagnosis

    Department of Mechanical Engineering, Virginia Tech Blacksburg, VA 24061, USA

  21. A System for Train Condition Monitoring and Structural Health Assessment of Rail Vehicles

    Aug 5, 2026Maximilian Posner, Martin Dazer, Daniela Lauer +4Predictive MaintenanceStructural Health Monitoring

    Institute of Machine Components University of Stuttgart Stuttgart, Germany · AutomatedTrain DB InfraGO AG Berlin, Germany · Institute of Vehicle Concepts German Aerospace Center Stuttgart, Germany +1

  22. A Fuzzy Rule-based Neuro-Symbolic Approach for Pipe Severity Prediction in Sewer Networks

    Jul 30, 2026Ngoc Thai Le, Thanh Ma, Umberto StracciaFuzzy LogicNeuro-Symbolic Reasoning

    Can Tho University, Can Tho, Vietnam · Istituto di Scienza e Tecnologie dell’Informazione, CNR - ISTI, Pisa, Italy

  23. BladeYOLO: Wind Turbine Blade Defect Detection with Limited Annotations and Weak-Saliency Awareness

    Jul 30, 2026Yabin Xu, Fangtao Zhang, Fan Wang +5Object DetectionStructural Health Monitoring

    School of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China · Department of Artificial Intelligence and Robotics, Zhejiang Energy Digital Technology Co., Ltd, Hangzhou 311100, China · School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China +1

  24. Encoding Invisible Causation for Bridge Diagnostic Agents: Triple-Guided Retrieval-Augmented Fine-Tuning with QLoRA

    Jul 23, 2026Takato YasunoCausal AttributionLow-Rank Adaptation

  25. Learning Physics-Informed Surrogate Model of Linear Elastic Displacement Fields from Geometry

    Jul 10, 2026Rodolphe Barlogis, Ferhat Tamssaouet, Quentin Falcoz +1Structural MechanicsPDE Surrogate Modeling

    PROMES-CNRS, Universit´e Perpignan Via Domitia (UPVD), Perpignan, France · LAAS-CNRS, Universit´e de Toulouse (UT), Toulouse, France

  26. Uncertainty-aware damage identification in short-span bridges via physics-informed variational autoencoder

    Jul 6, 2026Ana Fernandez-Navamuel, A. Javier Omella, Diego Zamora-Sanchez +1Variational AutoencodersUncertainty Quantification

    Basque Center for Applied Mathematics (BCAM), Bilbao, Spain. · Departamento de Matematica Aplicada, Universidad de Zaragoza/IUMA, Zaragoza, Spain. · TECNALIA, Basque Research and Technology Alliance (BRTA), Parque Cientifico y Tecnologico de Bizkaia, Astondo bidea, Edificio 700, Derio, E-48160, Spain. +1

  27. Fully Unsupervised Detection of Physical Contacts on Subsea Cables via State-of-Polarization Monitoring

    Jul 1, 2026Agastya Raj, Alvaro Doval, Tian Tian +2Unsupervised Anomaly DetectionStructural Health Monitoring

    School of Computer Science and Statistics, IRIS Research Group, ADAPT Research Centre, Trinity College Dublin · Tampnet AS, Stavanger, Norway

  28. A Multi-Fidelity Convolutional Autoencoder-Transfer Learning Framework for Guided-Wave-Based Damage Diagnosis Using Large Simulated and Limited Experimental Datasets

    Jun 25, 2026Santosh Kapuria, AbhishekConvolutional AutoencoderTransfer Learning

    Department of Applied Mechanics, Indian Institute of Technology Delhi, New Delhi, 110016, Delhi, India

  29. Transformer-based Multisensor Data Fusion of Ultrasonic Guided Wave and FBG-based Strain Measurements for Multitask Aerospace Structural Health Monitoring

    Jun 24, 2026Xin Yang, Morteza Moradi, Tongtong Yan +4Multimodal Sensor FusionFault Diagnosis

    Department of Mechanical Engineering & Division of Mechatronic System Dynamics (LMSD), KU Leuven, Belgium · Center of Excellence in Artificial Intelligence for Structures, Prognostics & Health Management, Aerospace Engineering Faculty, Delft University of Technology, Kluyverweg 1, Delft, 2629 HS, the Netherlands · Department of Civil Engineering, The University of British Columbia, Vancouver, Canada +2

  30. A Synthetic Reliability-Aware PINN Benchmark for Offshore Wind Turbine Support-Structure Monitoring with Bayesian Inverse Identification

    Jun 23, 2026Puneet Kant, Monika TanwarNeural Surrogate ModelingBayesian Inverse Problems

    aSchool of Artificial Intelligence and Data Science, Indian Institute of Technology Jodhpur · bSchool of Management and Entrepreneurship, Indian Institute of Technology Jodhpur