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cs.LG2022★ 19 cited
Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning
Lorin Jenkel, Stefan Jonas, Angela Meyer
Terabytes of data are collected by wind turbine manufacturers from their fleets every day. And yet, a lack of data access and sharing impedes exploiting the full potential of the d…
cs.LG2022
Vibration fault detection in wind turbines based on normal behaviour models without feature engineering
Stefan Jonas, Dimitrios Anagnostos, Bernhard Brodbeck +1
Most wind turbines are remotely monitored 24/7 to allow for an early detection of operation problems and developing damage. We present a new fault detection method for vibration-mo…
cs.LG2022
Vibration Fault Diagnosis in Wind Turbines based on Automated Feature Learning
Angela Meyer
A growing number of wind turbines are equipped with vibration measurement systems to enable a close monitoring and early detection of developing fault conditions. The vibration mea…