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Floating Offshore Wind Turbines (FOWTs) are more prone to suffer from faultsand failures than bottom-fixed counterparts due to the severe wind and waveloads typical of deep water sites. In particular, mooring line faults may leadto unacceptably high operation and maintenance costs due to the limitedaccessibility of FOWTs. Detecting the mooring line faults is thereforecritical, but the application of Fault Detection (FD) techniques has not beeninvestigated yet. In this paper, an FD scheme based on a wave-excited linearmodel is developed to detect in a reliable way critical mooring line faultsoccurring at the fairlead and anchor ends. To reach the goal, a linear model ofthe FOWT is obtained by approximating the wave radiation and incident waveforces. Based on this model, an observer is built to predict the rigid rotorand platform dynamics. The FD scheme is thus implemented by comparing theMahalanobis Distance of the observer prediction error against a probabilisticdetection threshold. Numerical simulations in some selected fault scenariosshow that the wave-excited linear model can predict the FOWT dynamics with goodaccuracy. Based on this, the FD scheme capabilities are demonstrated, showingthat it is able to effectively detect two critical mooring line faults.

Fault Detection of the Mooring system in Floating Offshore Wind Turbines based on the Wave-excited Linear Model