Abstract:Effective and timely health monitoring of wind turbine gearboxes and generators is essential to reduce the costs of operations and maintenance activities, especially offshore. This paper presents a scalable and lightweight convolutional neural network (CNN) framework using high‐dimensional raw condition monitoring data for the automatic detection of multiple wind turbine electromechanical faults. The proposed approach leverages the potential of combining information from a variety of signals to learn features … Show more
There is a good probability that wind turbines will emerge as one of the predominant technologies for electricity production in the upcoming decades [...]
There is a good probability that wind turbines will emerge as one of the predominant technologies for electricity production in the upcoming decades [...]
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