This paper addresses the study of digitalisation dynamics in SMEs. Improving on existing
research and its methodological limitations, we provide an understanding of the digital …

With the rapid evolution of the wind energy sector, there is an ever-increasing need to create
value from the vast amounts of data made available both from within the domain and from …

We propose a method, a model, and a form of presenting model results for condition
monitoring of a small set of wind turbines with rare failures. The main new ingredient of the …

In this paper, a set of best practice data sharing guidelines for wind turbine fault detection
model evaluation is developed, which can help practitioners overcome the main challenges …

We collect papers forecasting wind turbine failures at least two days in advance. We
examine the prediction time, methods, failed components, and dataset size. We investigate …

Early fault detection plays a crucial role in the field of predictive maintenance for wind
turbines, yet the comparison of different algorithms poses a difficult task because domain …

The increasing availability of condition-monitoring data for components/systems has
incentivized, in the past years, the development of data-driven Remaining Useful Life (RUL) …

Abstract [eng] With the increasing threat and the growing activity of Russian cyber fraudsters,
who disconnected parks with 5,800 and 2,000 wind turbines in Germany and Austria, as well …