Particle filter-based fatigue damage prognosis by fusing multiple degradation models

Autonomous Sensor System for Low-Capacity Wind Turbine Blade Vibration Measurement

Damage Classification of a Bolted Connection using Guided Waves and Explainable Artificial Intelligence

Cointegration strategy for damage assessment of offshore platforms subject to wind and wave forces

Structural health monitoring of the additively manufactured structures with embedded fiber optic sensors

Monitoring Dynamic Properties of Railway Tracks Using Train-borne Vibrometer Measurement

AI-Assisted Design & Optimization for Predictive Maintenance: A Case Study using Deep Learning and Search Metaheuristics for Structural Health Monitoring in Aviation

On Acoustic Emission Condition Monitoring of Highly-loaded Low-speed Roller Bearings

Development of highly scattering distributed fibre optic sensing for structural health monitoring

Acoustic Emission Monitoring of Naturally Developed Damage in Large-scale Low-speed Roller Bearings

Developing health indicators for composite structures based on a two-stage semi-supervised machine learning model using acoustic emission data

A Comprehensive Study on Measurement Accuracy of Distributed Fiber Optic Sensors Embedded within Capillaries of Solid Structures

Delamination Size Prediction for Compressive Fatigue Loaded Composite Structures Via Ultrasonic Guided Wave Based Structural Health Monitoring

Advanced Health Monitoring of Composite Structures Through Deep Learning-Based Analysis of Lamb Wave Data for Developing Health Indicators

Acousto-ultrasonic composite transducers integration into thermoplastic composite structures via ultrasonic welding

Bayesian system identification for structures considering spatial and temporal correlation

Acoustic emission-based remaining useful life prognosis of aeronautical structures subjected to compressive fatigue loading

Virtual sensing of subsoil strain response in monopile-based offshore wind turbines via Gaussian process latent force models

Roadmap on measurement technologies for next generation structural health monitoring systems

A data driven methodology for upscaling remaining useful life predictions: From single- to multi-stiffened composite panels