Structural Health Monitoring

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3 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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  1. 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

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

    Sep 28, 2026Stefan BosseFault DetectionStructural Health Monitoring

    University of Koblenz, Practical Computer Science, Koblenz, Germany

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

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

    Jul 23, 2026Takato YasunoCausal AttributionLow-Rank Adaptation

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. A UAV-Mounted Sensor Network for Close-Range Inspection of Wind Turbine Rotor Blades

    Jun 19, 2026Jost Wittmann, Ahmed Abdullahi Hassan, Nils Kömpe +1Industrial InspectionUAV Remote Sensing

    Department of Computer Science XVII: Robotics Julius-Maximilians Universität Würzburg Würzburg, Germany · Research and Development SubseaScanning AS Stavanger, Norway · Elektronik-Entwicklung Oktopus GmbH Kiel, Germany

  20. A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring in Open-Traffic Conditions

    Jun 17, 2026Yamil Uchani, Grace Luna, Edwin Salcedo +1UAV NavigationDigital Twins

    Department of Mechatronics Engineering, Universidad Cat´olica Boliviana “San Pablo”, Bolivia · School of Electronic Engineering and Computer Science, Queen Mary University of London, United Kingdom

  21. Domain-Shift Aware Neural Networks for Unbalance Characterization in Rotating Systems

    Jun 17, 2026Bernardo Feijó Junqueira, Claudio Kiyoshi Umezu, Bruno Bilhar Karaziack +2Distribution Shift RobustnessDomain Adaptation

    Department of Mechanical Engineering, Rio de Janeiro State University (UERJ), Fonseca Teles Street, 121, Rio de Janeiro, 20940-200, RJ, Brazil. · Faculty of Agricultural Engineering, University of Campinas (UNICAMP), Av. Cˆandido Rondon, 501, Campinas, 13083-875, SP, Brazil. · Directorate of Technology and Innovation, CPQD, R. Dr. Ricardo Benetton Martins, 1000 - Parque II, Campinas, 13086-902, SP, Brazil. +2

  22. A UAV-Based Multi-Modal Vision System for Automated Sideslope Deformation Monitoring and Hazard Detection

    Jun 13, 2026Jingfeng Zhang, Yi Li, Xianchong Liang +1Remote Sensing Change DetectionUAV Remote Sensing

    South China Normal University, Foshan, Guangdong, China

  23. YOLO-AMC: An Improved YOLO Architecture with Attention Mechanisms for Building Crack Detection

    Jun 11, 2026Ching-Yu Tsai, Chia-Min Lin, Chih-Hsiang Yang +2Object DetectionAttention Mechanisms

    Department of Electrical and Computer Engineering, Tamkang University, Taiwan

  24. Balancing Real and Synthetic Data for CNN-based Masonry Crack Detection

    Jun 6, 2026Mattia Forlesi, Alfonso Esposito, Ivan Zyrianoff +2Synthetic Data AugmentationSynthetic Data Generation

    Department of Computer Science and Engineering, University of Bologna, Bologna, Italy · Department of Civil, Chemical, Environmental, and Materials Engineering, University of Bologna, Bologna, Italy

  25. Multi-Task Crack Foundation Model for Engineering-Reliable Crack Representation and Topology Preservation in Civil Infrastructure

    Jun 4, 2026Blessing Agyei Kyem, Joshua Kofi Asamoah, Eugene Denteh +1Vision Foundation Model AdaptationTopology-Preserving Image Segmentation

    Department of Civil, Construction and Environmental Engineering, North Dakota State University, Fargo, 58102, ND, USA

  26. Field Validation of a Multi-Resolution ConvLSTM Framework for Retaining Wall Deformation Prediction

    Jun 4, 2026Jihoon Kim, Saeyon Kim, Heejung YounRecurrent Neural NetworksSpatiotemporal Forecasting

    Department of Civil and Environmental Engineering, Hongik University, Seoul 04066, Republic of Korea

  27. WHU-Infra3D: A Full-stack Multi-modal Dataset and Benchmark for 3D Roadside Infrastructure Inventory

    Jun 3, 2026Chong Liu, Luxuan Fu, Xuyu Feng +23D Point Cloud SegmentationIntelligent Transportation Systems

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, China

  28. Hierarchical Federated Learning with Dynamic Clustering and Adaptive Regularization for Robust Infrastructure Inspection

    Jun 2, 2026Yuhu Feng, Keisuke Maeda, Takahiro Ogawa +1Hierarchical Federated LearningNon-IID Federated Learning

  29. Fine-Tuning Vision-Language Models for Understanding Current Damage and Scoring Priority with Quality Guard Agent

    May 24, 2026Takato YasunoVLM AdaptationStructural Health Monitoring

  30. Non-Contact Vibration-Based Damage Detection of Civil Structures Using a Cost-Effective Autonomous UAV

    May 21, 2026Javier Becerril, Maximiliano Vargas, Jennifer Herrera +6Aerial RoboticsStructural Health Monitoring

    Department of Computer Science, The University of Texas at Rio Grande Valley (UTRGV), Edinburg, TX, USA. · Department of Mechanical Engineering at UTRGV. · Department of Civil Engineering at UTRGV. +1

  31. WaveGraphNet: Physics-Consistent Guided-Wave Damage Localization through Coupled Inverse-Forward Graph Learning

    May 19, 2026Vinay Sharma, Aditya Bharade, Olga FinkGraph Neural NetworksInverse Problems

    EPFL, Intelligent Maintenance and Operations Systems, Lausanne, Switzerland

  32. Cracks in the Foundation: A Civil Infrastructure Dataset to Challenge Vision Foundation Models

    May 18, 2026Nicola Farronato, Niccolo Avogaro, Thomas Frick +6Vision Foundation ModelsInstance Segmentation

    IBM Research · ETH Zürich · University of Twente

  33. SCRWKV: Ultra-Compact Structure-Calibrated Vision-RWKV for Topological Crack Segmentation

    May 14, 2026Hanxu Zhang, Chen Jia, Hui Liu +3Crack SegmentationSemantic Segmentation

    Engineering Research Center of Learning-Based Intelligent System, Ministry of Education, Tianjin University of Technology, Tianjin 300384, China · Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin 300384, China

  34. SHM-Agents: A Generalist-Specialist Integrated Agent System for Structural Health Monitoring

    May 13, 2026Yuequan Bao, Xing Li, Huabin Sun +3LLM Agent OrchestrationLLM Agents

    Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin · Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin · School of Civil Engineering, Harbin Institute of Technology, Harbin

  35. VFM-SDM: A vision foundation model-based framework for training-free, marker-free, and calibration-free structural displacement measurement

    May 10, 2026Qingyu Xian, Hao Cheng, Berend Jan van der Zwaag +2Structural Health Monitoring

    Pervasive Systems Research Group, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands · Department of Earth Observation Science, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands · Department of Civil Engineering and Management, Faculty of Engineering Technology, University of Twente, Enschede, The Netherlands

  36. Contour-Native Bridge Defect Detection and Compact Digital Archiving with Frequency-Supervised Fourier Contours

    May 9, 2026Jin Liu, Wang Wang, Hongxu Pu +4Frequency-Domain Image ProcessingStructural Health Monitoring

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430072, China · Sustainability X-Lab, The University of Hong Kong, Hong Kong, China · Department of Cyber Security, Southeast University, No. 2, Southeast University Road, Nanjing, 211102, China +2

  37. GNN for Structural Displacement Prediction

    May 8, 2026Hung-Fu Chang, Tzu-Kang Lin, Yung-Li ChengNeural Surrogate ModelingGraph Neural Networks

    R. B. Annis School of Engineering University of Indianapolis Indianapolis United States · Department of Civil Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan

  38. DART: A Vision-Language Foundation Model for Comprehensive Rope Condition Monitoring

    May 6, 2026Anju Rani, Daniel Ortiz-Arroyo, Petar DurdevicJoint-Embedding Predictive ArchitectureLarge Vision-Language Models

    Department of Energy Aalborg University Esbjerg, Denmark 6700

  39. Imagery Dataset for Remaining Useful Life Estimation of Synthetic Fibre Ropes

    May 5, 2026Anju Rani, Daniel Ortiz-Arroyo, Petar DurdevicRUL EstimationPredictive Maintenance

    Department of Energy Aalborg University Esbjerg, Denmark 6700

  40. Towards Interpretable Damage Detection based on Aerodynamic Pressure Measurements

    May 5, 2026Philip Franz, Max von Danwitz, Gregory Duthé +2Structural Health Monitoring

    German Aerospace Center (DLR) Institute for the Protection of Terrestrial Infrastructures Rathausallee 12, 53757 St. Augustin, Germany · Institute for Structural Engineering ETH Zürich Stefano-Franscini-Platz 5, 8093 Zürich, Switzerland · Institute for Mathematics and Computer-Based Simulations (IMCS) University of the Bundeswehr Munich Werner-Heisenberg-Weg 39, 85577, Neubiberg, Germany

  41. UnGAP: Uncertainty-Guided Affine Prompting for Real-Time Crack Segmentation

    May 4, 2026Conghui Li, Huanyu He, Xin Wang +2Segmentation Uncertainty EstimationCrack Segmentation

    School of Information Technology, Monash University, Selangor, Malaysia · Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China · School of Engineering, Monash University, Selangor, Malaysia

  42. Equation-Free Digital Twins for Nonlinear Structural Dynamics

    May 1, 2026Mohammad Mahdi Abaei, Ahmad BahooToroody, Arttu Polojärvi +4Koopman Operator LearningNonlinear System Identification

    Department of Mechanical Engineering, Marine Technology and Arctic Group, Aalto University, Finland · Independent Expert, Digital Twin Technology, Ribe, Denmark · Institute for Risk and Reliability, Leibniz University Hannover, Germany

  43. Training-Free Tunnel Defect Inspection and Engineering Interpretation via Visual Recalibration and Entity Reconstruction

    Apr 30, 2026Shipeng Liu, Liang Zhao, Dengfeng Chen +1Open-Vocabulary Object DetectionPromptable Image Segmentation

    Xi’an University of Architecture and Technology, School of mechanical and electrical engineering, Xi’an, 710055, Shaanxi, China · Xi’an University of Architecture and Technology, School of Information and Control Engineering, Xi’an, 710055, Shaanxi, China · Xi’an University of Architecture and Technology, School of Civil Engineering, Xi’an, 710055, Shaanxi, China

  44. Green Physics-Informed Machine Learning Models For Structural Health Monitoring

    Apr 30, 2026Daisy R Bradley, Elizabeth J CrossEnergy-Efficient MLPhysics-Informed ML

    University of Sheffield Sheffield, UK

  45. Robust Lightweight Crack Classification for Real-Time UAV Bridge Inspection

    Apr 30, 2026Wei Li, Haisheng Li, Weijie Li +3Convolutional Neural NetworksLightweight CNNs

    Bay Area Super Bridge Maintenance Technology Center, Guangdong Provincial Highway Construction Co., Ltd., Guangdong, China · Guangdong AIHISUN Technology Co., Ltd., Guangdong, China

  46. PiGGO: Physics-Guided Learnable Graph Kalman Filters for Virtual Sensing of Nonlinear Dynamic Structures under Uncertainty

    Apr 29, 2026Marcus Haywood-Alexander, Gregory Duthé, Eleni ChatziPhysics-Informed MLVirtual Sensing

    aDepartment of Civil, Environmental and Geomatic Engineering, ETH Zürich, Wolfgang-Pauli Strasse 5, 8049, Zürich, Switzerland · bFuture Resilient Systems, Singapore-ETH Centre, Singapore, Singapore

  47. Probabilistic data quality assessment for structural monitoring data via outlier-resistant conditional diffusion model

    Apr 29, 2026Qi Li, Yong Huang, Hui LiConditional Diffusion ModelsStructural Health Monitoring

    Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, School of Civil Engineering, Harbin Institute of Technology, Harbin, 150090, China · Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, 150090, China

  48. Adaptive Meta-Learning Stochastic Gradient Hamiltonian Monte Carlo Simulation for Bayesian Updating of Structural Dynamic Models

    Apr 28, 2026Xianghao Meng, James L. Beck, Yong Huang +1Markov Chain Monte CarloMeta-Learning

    Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, China · Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, China · Division of Engineering and Applied Science, California Institute of Technology, CA, USA

  49. Monitoring exposure-length variations in submarine power cables using distributed fiber-optic sensing

    Apr 27, 2026Sakiko Mishima, Yoshiyuki Yajima, Noriyuki Tonami +4Structural Health MonitoringAnomaly Detection

    NEC Corporation, Tokyo, Japan

  50. Probabilistic Graphical Model using Graph Neural Networks for Bayesian Inversion of Discrete Structural Component States

    Apr 26, 2026Teng Li, Stephen Wu, Yong Huang +2Graph Neural NetworksBayesian Inverse Problems

    Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin 150090, China · Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, School of Civil Engineering, Harbin, Institute of Technology, Harbin 150090, China · The Institute of Statistical Mathematics, Research Organization of Information and Systems, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, Japan +2

  51. Disentangling Damage from Operational Variability: A Label-Free Self-Supervised Representation Learning Framework for Output-Only Structural Damage Identification

    Apr 21, 2026Xudong Jian, Charikleia Stoura, Simon Scandella +1Disentangled Representation LearningSelf-Supervised Time Series Representation Learning

    Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, Zürich, Switzerland. · Department of Mechanical Engineering, Politecnico di Milano, Italy

  52. Hybrid Spectro-Temporal Fusion Framework for Structural Health Monitoring

    Apr 17, 2026Jongyeop Kim, Jinki Kim, Doyun LeeFrequency-Domain Feature LearningMultiscale Time-Series Modeling

    aDepartment of Information Technology, Georgia Southern University Statesboro, GA, USA · bDepartment of Mechanical Engineering, Georgia Southern University Statesboro, GA, USA · cDepartment of Civil Engineering and Construction, Georgia Southern University Statesboro, GA, USA

  53. MS-SSE-Net: A Multi-Scale Spatial Squeeze-and-Excitation Network for Structural Damage Detection in Civil and Geotechnical Engineering

    Apr 16, 2026Saif ur Rehman Khan, Imad Ahmed Waqar, Arooj Zaib +4Convolutional Neural NetworksStructural Health Monitoring

    Department of Computer Science, Rhineland-Palatinate Technical2026 University of Kaiserslautern-Landau, orgaddressKaiserslautern, 67663, Germany.Apr · 4BiogentX (biogentx.com, Renala Khurd, District Okara, Punjab, Pakistan. · 2German Research Center for Artificial Intelligence, Kaiserslautern, 67663, Germany. +2