Blar i Institutt for vareproduksjon og byggteknikk på forfatter "Cheng, Xu"
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Assessment of the impacts of different policy instruments on achieving the deep decarbonization targets of island energy systems in Norway – The case of Hinnøya
Zhou, Wenji; Hagos, Dejene Assefa; Stikbakke, Sverre; Huang, Lizhen; Cheng, Xu; Onstein, Erling (Peer reviewed; Journal article, 2022)Norway enjoys an electricity-dominant clean energy system with a high share of hydropower. The power and heating sectors are characterized by high penetration of renewables. But the transportation and offshore industries ... -
A Blockchain-Empowered Cluster-based Federated Learning Model for Blade Icing Estimation on IoT-enabled Wind Turbine
Cheng, Xu; Tian, Weiwei; Shi, Fan; Zhao, Meng; Chen, Shengyong; Wang, Hao (Peer reviewed; Journal article, 2022)Wind energy is a fast-growing renewable energy but faces the blade icing. Data-driven methods provide talented solutions for blade icing detection but a considerable amount of data need to be collected to a central server, ... -
A Class-Imbalanced Heterogeneous Federated Learning Model for Detecting Icing on Wind Turbine Blades
Cheng, Xu; Shi, Fan; Liu, Yongping; Zhou, Jiehan; Liu, Xiufeng; Huang, Lizhen (Peer reviewed; Journal article, 2022)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 considerable amount of data. Data ... -
Machine learning based digital twin framework for aquaculture net cage system
Skauen, Håvard (Master thesis, 2022)I denne master oppgaven er det presentert et rammeverk for digital tvilling for fiskeoppdrettsanlegg ved å bruke numerisk simulering, maskin læring og sensor data. De numeriske simuleringene er utført med programvaren FhSim ... -
Multiscale Wavelet-Driven Graph Convolutional Network for Blade Icing Detection of Wind Turbines
Lai, Zhichen; Cheng, Xu; Liu, Xiufeng; Huang, Lizhen; Liu, Yongping (Peer reviewed; Journal article, 2022)Blade icing detection is critical to maintaining the health of wind turbines, especially in cold climates. Rapid and accurate icing detection allows proper control of wind turbines, including shutting down and clearing the ... -
A sensitivity quantification approach to significance analysis of thrusters in dynamic positioning operations.
Wang, Chunlin; Li, Guoyuan; Skulstad, Robert; Cheng, Xu; Osen, Ottar Laurits; Zhang, Houxiang (Peer reviewed; Journal article, 2021)The safety of offshore operations is highly dependent on the dynamic positioning (DP) capability of a vessel. Meanwhile, DP capability comes down to the ability of the thrust generated by thrusters to counteract environmental ... -
Wind turbine blade icing detection: a federated learning approach
Cheng, Xu; Shi, Fan; Liu, Yongping; Liu, Xiufeng; Huang, Lizhen (Peer reviewed; Journal article, 2022)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 of special materials, or external ...