Blar i Institutt for havromsoperasjoner og byggteknikk på forfatter "Shi, Fan"
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An Enhanced Lightweight Convolutional Neural Network for Ship Detection in Maritime Surveillance System
Yin, Yifan; Cheng, Xu; Shi, Fan; Zhao, Meng; Li, Guoyuan; Chen, Shengyong (Peer reviewed; Journal article, 2022)With the extensive application of artificial intelligence, ship detection from optical satellite remote sensing images using deep learning technology can significantly improve detection accuracy. However, the existing ... -
Gated Convolutional Neural Network for Wind Turbine Blade Icing Detection
Tian, Weiwei; Cheng, Xu; Shi, Fan; Li, Guoyuan; Chen, Shengyong; Zhang, Houxiang (Chapter, 2022)Blade icing detection plays an important role in wind turbine protection and maintenance. Employing well trained deep learning model is a promising method for blade ice detection but needs effective neural networks for ... -
A Multilevel Convolutional Recurrent Neural Network for Blade Icing Detection of Wind Turbine
Tian, Weiwei; Cheng, Xu; Li, Guoyuan; Shi, Fan; Chen, Shengyong; Zhang, Houxiang (Peer reviewed; Journal article, 2021)Blade icing detection becomes increasingly significant as it can avoid revenue loss and power degradation. Conventional methods are usually limited by additional costs, and model-driven methods heavily depend on prior ... -
Temporal Attention Convolutional Neural Network for Estimation of Icing Probability on Wind Turbine Blades
Cheng, Xu; Shi, Fan; Zhao, Meng; Li, Guoyuan; Zhang, Houxiang; Chen, Shengyong (Peer reviewed; Journal article, 2021)Wind farms are usually located in high-latitude areas, which increases produced energy but creates a high risk of icing. Traditional methods of anti-blade-icing are limited by the extra cost and the potential damages to ...