Abstract Convolutional Neural Networks (CNNs) are generally prone to noise interruptions,
ie, small image noise can cause drastic changes in the output. To suppress the noise effect …

Wind farms are often located at high latitudes, which entails a high risk of icing for wind
turbine blades. Traditional anti-icing methods rely primarily on manual observation, the use …

Onshore wind turbines are primarily installed in high-altitude areas with good wind energy
resources. However, in winter, the blades are easy to ice, which will seriously impact their …

In industrial systems, the vibration signals of rolling bearings are influenced by changing
operating conditions and strong environmental noise, therefore they are often characterized …

Data-driven fault detection of wind turbines has gained increasingly attention. Currently,
most existing methods require sufficient labeled data to train a reliable model in a …

Wind farms are usually located in high-latitude areas, which bring a high risk of icing.
Traditional methods of anti-blade-icing are limited by extra costs and potential damages to …

Wind power is a clean and widely deployed alternative to reducing our dependence on
fossil fuel power generation. Under this trend, more turbines will be installed in wind farms …

Wind farms are typically located at high latitudes, resulting in a high risk of blade icing. Data-
driven approaches offer promising solutions for blade icing detection, but they rely on a …

As a key component of wind turbines (WTs), the blade conditions are related to the WT
normal operation and the WT blade inspection is a significant task. Most studies of WT blade …

Single image deraining refers to the process of restoring the clean background scene from a
rainy image. Current approaches have resorted to deep learning techniques to remove rain …