Browsing NTNU Open by Author "Cheng, Xu"
Now showing items 21-30 of 30
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A Novel Densely Connected Convolutional Neural Network for Sea State Estimation Using Ship Motion Data
Cheng, Xu; Li, Guoyuan; Ellefsen, Andre; Chen, Shengyong; Hildre, Hans Petter; Zhang, Houxiang (Peer reviewed; Journal article, 2020)Sea state estimation is a fundamental problem in the development of autonomous ships. Traditional methods such as wave buoy, satellites, and wave radars are limited by locations, clouds and costs, respectively. Model-based ... -
Online Fault Detection in Autonomous Ferries: Using fault-type in-dependent spectral anomaly detection
Ellefsen, Andre; Han, Peihua; Cheng, Xu; Holmeset, Finn Tore; Æsøy, Vilmar; Zhang, Houxiang (Peer reviewed; Journal article, 2020)Enthusiasm for ship autonomy is flourishing in the maritime industry. In this context, data-driven Prognostics and Health Management (PHM) systems have emerged as the optimal way to improve operational reliability and ... -
RaiseAuth: a novel bio-behavioral authentication method based on ultra-low-complexity movement
Zhao, Shuo; Guo, Zhongwen; Cheng, Xu; Jiang, Sining; Wang, Hao (Peer reviewed; Journal article, 2023) -
SAFENESS: A Semi-Supervised Transfer Learning Approach for Sea State Estimation Using Ship Motion Data
Cheng, Xu; Li, Guoyuan; Skulstad, Robert; Zhang, Houxiang (Journal article; Peer reviewed, 2023)Autonomous vessels have been identified as a promising innovation in advancing marine transportation, providing an effective means to mitigate the risk of accidents, pollution incidents, and carbon dioxide emissions. ... -
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 ... -
Simplifying neural network based model for ship motion prediction: a comparative study of sensitivity analysis
Cheng, Xu; Chen, Shengyong; Diao, Chen; Liu, Mengna; Li, Guoyuan; Zhang, Houxiang (Chapter, 2017)This paper presents a comparative study of sensitivity analysis (SA) and simplification on artificial neural network (ANN) based model used for ship motion prediction. Considering traditional structural complexity of ANN ... -
SpectralSeaNet: spectrogram and convolutional network-based sea state estimation
Cheng, Xu; Li, Guoyuan; Skulstad, Robert; Zhang, Houxiang; Chen, Shengyong (Chapter, 2020)Sea State is significant to the operations on the sea. The traditional model-based approaches need lots of knowledge of vessels, which limit the real-world use. This paper proposes a spectrogram-based deep learning model ... -
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 ... -
An Uncertainty-aware Hybrid Approach for Sea State Estimation Using Ship Motion Responses
Han, Peihua; Li, Guoyuan; Cheng, Xu; Skjong, Stian; Zhang, Houxiang (Peer reviewed; Journal article, 2021)Situation awareness is essential for autonomous ships. One key aspect is to estimate the sea state in a real-time manner. Considering the ship as a large wave buoy, the sea state can be estimated from motion responses ... -
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 ...