A Damage Detection and Location Scheme for Offshore Wind Turbine Jacket Structures Based On Global Modal Properties

Abstract Structural failures of offshore wind turbine substructures might be less likely than other equipment the generator but pose a high risk due to possibility catastrophic consequences. Significant costs are linked operations like inspections and maintenance, thus remote monitoring shows promise for cost-efficient structural integrity management. This work is aimed investigate feasibility two-level detection, in terms anomaly identification localisation, jacket structure an turbine. A scheme developed based on database modal properties different scenarios. The method identifies correct scenario three types indicators, namely natural frequency, assurance criterion between mode shapes, flexibility variation. supervised Fisher's linear discriminant analysis applied transform indicators maximise separability Fuzzy clustering algorithm trained predict membership new data scenarios database. In case study, extreme scour phenomena member loss simulated, together with variations dynamics environmental operating conditions. Cross-validation used select best hyperparameters effectiveness validated slight results prove that it feasible detect localise simulated via global structure.