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cs.LG2022
A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms
Connor Walker, Callum Rothon, Koorosh Aslansefat +2
With an increasing emphasis on driving down the costs of Operations and Maintenance (O&M) in the Offshore Wind (OSW) sector, comes the requirement to explore new methodology and ap…
cs.LG2019
A Deep Learning Approach Towards Prediction of Faults in Wind Turbines
Joyjit Chatterjee, Nina Dethlefs
With the rising costs of conventional sources of energy, the world is moving towards sustainable energy sources including wind energy. Wind turbines consist of several electrical a…