Blar i SINTEF Open på forfatter "Han, Peihua"
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Data-driven sea state estimation for vessels using multi-domain features from motion responses
Han, Peihua; Li, Guoyuan; Skjong, Stian; Wu, Baiheng; Zhang, Houxiang (Chapter; Peer reviewed, 2021)Situation awareness is of great importance 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 ... -
A Digital Twin of the Research Vessel Gunnerus for Lifecycle Services: Outlining Key Technologies
Zhang, Houxiang; Li, Guoyuan; Hatledal, Lars Ivar; Chu, Yingguang; Ellefsen, André Listou; Han, Peihua; Major, Pierre Yann; Skulstad, Robert; Wang, Tongtong; Hildre, Hans Petter (Peer reviewed; Journal article, 2022)Digitalization has become a key aspect of making maritime industries more innovative, efficient, and fit for future operations. One of the most attractive aspects is the concept of digital twins , which refers to digital ... -
Directional wave spectrum estimation with ship motion responses using adversarial networks
Han, Peihua; Li, Guoyuan; Skjong, Stian; Zhang, Houxiang (Peer reviewed; Journal article, 2022)The external environmental conditions around a vessel are essential for efficient and safe ship operation, among which the sea state is of key importance. Considering the ship as a large wave buoy, the sea state can be ... -
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 ...