This study presents a novel artificial neural network (ANN) based methodology within a
vibration-based structural health monitoring framework for robust damage detection. The …

Abstract Vibration-based Structural Health Monitoring (VSHM) is becoming one of the most
commonly used methods for damage diagnosis and long term monitoring. In data-driven …

This study aims to investigate the performance of a data-driven methodology for quantifying
damage based on the use of a metamodel obtained from the Polynomial Chaos-Kriging …

A significant problem associated with the implementation of Vibration-Based Structural
Health Monitoring (VSHM) systems originates from the detrimental effects caused by …

A significant issue that has plagued data-driven Vibration-based Structural Health
Monitoring (VSHM) is the mitigation of Environmental and Operational Variations (EOVs) …

Monitoring large structures over their lifetime is becoming increasingly important as robust
monitoring will ensure safety and financial benefits. Offshore wind turbines (OWT) are in …

The study aims at damage detection on the blade of an operating Vestas V27 wind turbine
via a single vibration response sensor under varying Environmental and Operating …

The increase in size and complexity of wind turbine blades makes maintenance and repair
works harder to perform. Implementing a Structural Health Monitoring (SHM) process, so that …

In this thesis, the objective is to monitor the wind turbine without stopping or interfering with
its operation. So, the monitoring of operating wind turbines with Operational Modal Analysis …

Original papers Original papers are not included in the electronic version of the dissertation.
Nikula, R.-P., Ruusunen, M., & Böhme, SA (2022). On training data selection in condition …